id stringlengths 53 86 | api_name stringlengths 2 76 | api_description stringlengths 1 500 ⌀ | api_score float64 0 10 ⌀ | endpoint_name stringlengths 1 190 | endpoint_description stringlengths 0 500 | response_status_code int64 100 505 | response_summary stringlengths 1 68 ⌀ | response_json stringlengths 6 50k | response_json_schema stringlengths 14 150k |
|---|---|---|---|---|---|---|---|---|---|
719dc5e9-1ffc-4b97-b8e7-d939d4275369/7e5c5ade-0ce7-4aab-992f-c0ecdbe306a8/0/0 | Webit Face | Face Detection, Verification, Similarity, Age, Gender, Race, Emotion, Landmarks and Parts analysis. | 6 | Detection | Perform A.I. powered Face Detection over photos with multiple faces. | 200 | Response | {"status": "success", "data": {"input_source": "url", "faces": [{"face_id": 1, "confidence": 0.9999762773513794, "bounding_box": {"start": {"x": 60.262008733624455, "y": 48.873873873873876}, "end": {"x": 72.63464337700145, "y": 59.909909909909906}}}, {"face_id": 2, "confidence": 0.9999254941940308, "bounding_box": {"st... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "data": {"type": "object", "properties": {"input_source": {"type": "string"}, "faces": {"type": "array", "items": {"type": "object", "properties": {"face_id": {"type": "integer"}, "confidence": {"type": "number"... |
719dc5e9-1ffc-4b97-b8e7-d939d4275369/eddf4e77-faec-4f67-bd4b-8ee5fd52cd7b/0/0 | Webit Face | Face Detection, Verification, Similarity, Age, Gender, Race, Emotion, Landmarks and Parts analysis. | 6 | Similarity | Perform A.I. powered Face Similarity comparison over a source face against multiple target faces. | 200 | Response | {"status": "success", "data": {"input_source": "url", "target_source": "url", "input_face": {"face_id": 1, "confidence": 0.99979, "bounding_box": {"start": {"x": 43.04761904761905, "y": 38.142857142857146}, "end": {"x": 56.476190476190474, "y": 61.57142857142857}}}, "matches": [{"face_id": 2, "similarity": 0.98243, "co... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "data": {"type": "object", "properties": {"input_source": {"type": "string"}, "target_source": {"type": "string"}, "input_face": {"type": "object", "properties": {"face_id": {"type": "integer"}, "confidence": {"... |
719dc5e9-1ffc-4b97-b8e7-d939d4275369/153d421d-d46f-49ba-91c6-a890bab03596/0/0 | Webit Face | Face Detection, Verification, Similarity, Age, Gender, Race, Emotion, Landmarks and Parts analysis. | 6 | Analysis | Perform A.I. powered Face Analysis in order to extract Age, Gender, Race and Emotion insights and attributes. | 200 | Response | {"status": "success", "data": {"input_source": "url", "result": {"face_id": 1, "emotion": "happy", "score": 0.9999915361404419, "emotions_scores": {"angry": "0.0000000000000000", "disgust": "0.0000000000000000", "fear": "0.0000000000000000", "happy": "0.9999915361404419", "neutral": "0.0000085076790128", "sad": "0.0000... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "data": {"type": "object", "properties": {"input_source": {"type": "string"}, "result": {"type": "object", "properties": {"face_id": {"type": "integer"}, "emotion": {"type": "string"}, "score": {"type": "number"... |
719dc5e9-1ffc-4b97-b8e7-d939d4275369/428a490e-3bbd-4361-8770-3931e0a537ee/0/0 | Webit Face | Face Detection, Verification, Similarity, Age, Gender, Race, Emotion, Landmarks and Parts analysis. | 6 | Verification | Perform A.I. powered Face Verification of a source face against multiple target faces. | 200 | Response | {"status": "success", "data": {"input_source": "url", "target_source": "url", "input_face": {"face_id": 1, "confidence": 0.99979, "bounding_box": {"start": {"x": 43.04761904761905, "y": 38.142857142857146}, "end": {"x": 56.476190476190474, "y": 61.57142857142857}}}, "matches": [{"face_id": 1, "closeness": 0.98243, "con... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "data": {"type": "object", "properties": {"input_source": {"type": "string"}, "target_source": {"type": "string"}, "input_face": {"type": "object", "properties": {"face_id": {"type": "integer"}, "confidence": {"... |
93f8ed86-61cc-46bf-bbe2-3a3fca930578/a09a1e14-b7ec-42cb-ad61-5454233cd189/0/0 | Biometric FingerPrint Recognition | This API facilitates fingerprint recognition, allowing users to efficiently identify and discover optimal matches among fingerprints. It serves as a powerful tool for applications requiring precise biometric authentication and verification, such as security systems, law enforcement databases, and access control solutio... | 6.6 | fingerprint recognition from file upload | Effortlessly initiate the analysis process by uploading and preparing your dataset along with the target file. Simply create a dataset by uploading a group of images, and seamlessly process them alongside the target image for comprehensive results. | 200 | New Example | {"response": {"file": "LEFT_INDEX_FINGER.bmp", "match": 85, "matches": [{"file": "LEFT_MIDDLE_FINGER.bmp", "score": 76}], "key1": "", "key2": ""}} | {"type": "object", "properties": {"response": {"type": "object", "properties": {"file": {"type": "string"}, "match": {"type": "integer"}, "matches": {"type": "array", "items": {"type": "object", "properties": {"file": {"type": "string"}, "score": {"type": "integer"}}}}, "key1": {"type": "string"}, "key2": {"type": "str... |
97a7459a-4dd4-4aba-9c24-c1e5345d432f/557949ae-2ac9-4482-81a7-10732823619e/0/0 | Japanese Driver License OCR | Extract the text of your name, home address, date of birth, date of issuance, expiration date, and ID number from the front and back of your Japanese driver's license. | 6.6 | Japanese Driver License OCR | Support jpg, png, bmp, pdf, tiff, single-frame gif and other formats, the image size does not exceed 10M. | 200 | Response | {"code": "200", "status": "SUCCESS", "date": "11/22/2023 06:57:40 PM", "result": {"rotated_image_height": 648, "image_angle": 0, "rotated_image_width": 1022, "item_list": [{"value": "\u65e5\u672c \u82b1\u5b50\u6771\u4eac\u82b1\u5b50", "key": "name"}, {"value": "\u6771\u4eac\u90fd\u5343\u4ee3\u7530\u533a\u971e\u304c\u95... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"code": {"type": "string"}, "status": {"type": "string"}, "date": {"type": "string"}, "result": {"type": "object", "properties": {"rotated_image_height": {"type": "integer"}, "image_angle": {"type": "integer"}, "rotated_image_width": {"type"... |
859601e0-9a4c-4fb6-b633-370e58ea21ea/3a99f1cb-5e8e-4084-979f-f139b25c7106/0/0 | Face Detection | PresentID Face detection API can detect the face(s) in your image and retrieve some features such as Age, Gender, Landmarks, etc. | 8.4 | Send image by image file | Detect face(s) in your image and retrieve some features such as Age, Gender, Land Marks and etc.
Image size should not exceed 8 MB
Also, the images must not be larger than 5000 pixels and smaller than 50 pixels | 200 | FaceDetectionResponse | {"data": [{"age": {"maxAge": 46, "minAge": 41}, "blur": {"level": "medium", "value": 0.18274683425000002}, "faceID": "62fbc589-8709-40e2-967c-42989ee1082f", "faceLandMarks": [{"title": "CenterRightEye", "x": 282, "y": 193}, {"title": "CenterLeftEye", "x": 285, "y": 218}, {"title": "NoseTip", "x": 293, "y": 242}, {"titl... | {"properties": {"data": {"items": {"properties": {"age": {"properties": {"maxAge": {"type": "integer"}, "minAge": {"type": "integer"}}, "type": "object"}, "blur": {"properties": {"level": {"type": "string"}, "value": {"type": "number"}}, "type": "object"}, "faceID": {"type": "string"}, "faceLandMarks": {"items": {"prop... |
99aa5e80-f65b-460f-961f-4e47d5456200/1ba6e516-7b4b-40ec-a5c2-22613d9ac6db/0/0 | Signature Recognition | Powered by AWS Textract - accelerate document verification and enhance security by incorporating signature finding and recognition. This technology locates signatures within documents streamlining processes and ensuring the authenticity of critical transactions. Improve efficiency and trust in your workflows with seaml... | null | signature | Signature recognition | 200 | Example_1 | [{"Type": "SIGNATURE", "Confidence": 34.75679016113281, "BoundingBox": {"Height": 0.02957404963672161, "Left": 0.12615138292312622, "Top": 0.2997671365737915, "Width": 0.15474019944667816}}, {"Type": "SIGNATURE", "Confidence": 33.538169860839844, "BoundingBox": {"Height": 0.021493464708328247, "Left": 0.627749443054199... | {"type": "string", "title": "FormResult"} |
c37c1272-4eb4-40c5-a5fc-835046232ff6/6bcba152-fa34-4615-8484-394ca6f7daf1/0/0 | Promity Facial Emotion | API for recognizing facial emotions in images in real time. | 7.7 | Emotions by URL | This endpoint recognize 7 emotions:
1. angry
2. disgust
3. fear
4. happy
5. sad
6. surprise
7. neutral
Check out our tutorials for example of usage in Python. | 200 | New Example | {"detections": [{"crop": {"x1": 0.49029475450515747, "y1": 0.5199255347251892, "x2": 0.5589765906333923, "y2": 0.38276559114456177, "score": 0.9992923736572266}, "emotions": {"angry": 0.01486795861274004, "disgust": 5.832673923578113e-05, "fear": 0.04769697040319443, "happy": 0.007116216700524092, "sad": 0.041543327271... | {"type": "object", "properties": {"detections": {"type": "array", "items": {"type": "object", "properties": {"crop": {"type": "object", "properties": {"x1": {"type": "number"}, "y1": {"type": "number"}, "x2": {"type": "number"}, "y2": {"type": "number"}, "score": {"type": "number"}}}, "emotions": {"type": "object", "pr... |
c37c1272-4eb4-40c5-a5fc-835046232ff6/acfd7485-9390-41ea-96e9-f82c6a2bcc2f/0/0 | Promity Facial Emotion | API for recognizing facial emotions in images in real time. | 7.7 | Emotions by file | This endpoint recognize 7 emotions:
1. angry
2. disgust
3. fear
4. happy
5. sad
6. surprise
7. neutral
Check out our tutorials for example of usage in Python. | 200 | New Example | {"detections": [{"crop": {"x1": 0.49029475450515747, "y1": 0.5199255347251892, "x2": 0.5589765906333923, "y2": 0.38276559114456177, "score": 0.9992923736572266}, "emotions": {"angry": 0.01486795861274004, "disgust": 5.832673923578113e-05, "fear": 0.04769697040319443, "happy": 0.007116216700524092, "sad": 0.041543327271... | {"type": "object", "properties": {"detections": {"type": "array", "items": {"type": "object", "properties": {"crop": {"type": "object", "properties": {"x1": {"type": "number"}, "y1": {"type": "number"}, "x2": {"type": "number"}, "y2": {"type": "number"}, "score": {"type": "number"}}}, "emotions": {"type": "object", "pr... |
2ed09f28-5839-4f52-b712-80ed8a021e0b/21c5c54c-a951-4e47-8d30-8219d20aa06d/0/0 | Parking places | Analize image to get info about parking places using machine learning! | 8.6 | Detect by upload file (form data) | Method returns busy/free parking places and some additional info. | 200 | Example_1 | {"pplaces": [{"isFree": false, "box": [], "confidence": 0}], "state": {}, "info": {}} | {"title": "Detect method responce", "type": "object", "properties": {"pplaces": {"title": "Pplaces", "type": "array", "items": {"title": "Pplace", "type": "object", "properties": {"isFree": {"title": "Isfree", "type": "boolean", "description": "Parking place is Busy/False or Free/True", "default": false}, "box": {"titl... |
2ed09f28-5839-4f52-b712-80ed8a021e0b/21c5c54c-a951-4e47-8d30-8219d20aa06d/1/0 | Parking places | Analize image to get info about parking places using machine learning! | 8.6 | Detect by upload file (form data) | Method returns busy/free parking places and some additional info. | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"type": "string"}}, "msg": {"title": "Messag... |
2ed09f28-5839-4f52-b712-80ed8a021e0b/9be6d553-f6d8-4cdb-aad8-ad245d0fc583/0/0 | Parking places | Analize image to get info about parking places using machine learning! | 8.6 | Detect by base64 encoded file (string) | Method returns busy/free parking places and some additional info.
imageb64 - base64 encoded image. Valid values are:
1. plain base64 text, like `/9j/4AAQSkZJRgABAQ...`
2. data-uri with base64 text, like `data:image/jpeg;base64,/9j/4AAQSkZJRgABAQ...`
3. `bytes to string` like `b'/9j/4AAQSkZJRgABAQ...`
| 200 | Example_1 | {"pplaces": [{"isFree": false, "box": [], "confidence": 0}], "state": {}, "info": {}} | {"title": "Detect method responce", "type": "object", "properties": {"pplaces": {"title": "Pplaces", "type": "array", "items": {"title": "Pplace", "type": "object", "properties": {"isFree": {"title": "Isfree", "type": "boolean", "description": "Parking place is Busy/False or Free/True", "default": false}, "box": {"titl... |
2ed09f28-5839-4f52-b712-80ed8a021e0b/9be6d553-f6d8-4cdb-aad8-ad245d0fc583/1/0 | Parking places | Analize image to get info about parking places using machine learning! | 8.6 | Detect by base64 encoded file (string) | Method returns busy/free parking places and some additional info.
imageb64 - base64 encoded image. Valid values are:
1. plain base64 text, like `/9j/4AAQSkZJRgABAQ...`
2. data-uri with base64 text, like `data:image/jpeg;base64,/9j/4AAQSkZJRgABAQ...`
3. `bytes to string` like `b'/9j/4AAQSkZJRgABAQ...`
| 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"type": "string"}}, "msg": {"title": "Messag... |
8eceda12-02b0-4786-9027-96e4d0a9d807/d4f3c366-29ad-4c99-95d3-62af670c05cb/0/0 | Face Detection and Analysis | Our comprehensive Face Detection & Analysis API offers a wide range of functionalities. It accurately detects and provides the precise location of faces within images. Additionally, it incorporates advanced features such as liveness detection, age estimation, gender identification, analysis of facial expressions (emoti... | 7.6 | Detect & Analyze | supported image format is JPEG and PNG
Output detected faces, with each face's :
Bounding box coordinate (0 to 1 relative to image dimension).
0, 0 is top left corner of the image while 1, 1 is bottom right corner of the image
x1 & y1 is bbox top left point coordinate
x2 & y2 is bbox bottom right point coordinate
... | 200 | Success Example | {"status": "success", "image_file_name": "omar-lopez-T6zu4jFhVwg-unsplash.jpg", "face_count": 10, "analysis_result": [{"bbox": {"x1": 0.2699, "y1": 0.24103, "x2": 0.31314, "y2": 0.30961}, "liveness": {"is_real_face": true, "liveness_probability": 0.88112}, "age": 35.95, "gender": "male", "gender_probability": 0.86915, ... | {"type": "object", "properties": {"status": {"type": "string"}, "image_file_name": {"type": "string"}, "face_count": {"type": "integer"}, "analysis_result": {"type": "array", "items": {"type": "object", "properties": {"bbox": {"type": "object", "properties": {"x1": {"type": "number"}, "y1": {"type": "number"}, "x2": {"... |
8eceda12-02b0-4786-9027-96e4d0a9d807/b3dc144a-7a8d-4f85-aaa5-a54f67f85acb/0/0 | Face Detection and Analysis | Our comprehensive Face Detection & Analysis API offers a wide range of functionalities. It accurately detects and provides the precise location of faces within images. Additionally, it incorporates advanced features such as liveness detection, age estimation, gender identification, analysis of facial expressions (emoti... | 7.6 | Detect & Analyze 2 | Same as above, but has another method of input
This endpoint consume JSON input (image url path) | 200 | Success Example | {"status": "success", "image_file_name": "omar-lopez-T6zu4jFhVwg-unsplash.jpg", "face_count": 10, "analysis_result": [{"bbox": {"x1": 0.2699, "y1": 0.24103, "x2": 0.31314, "y2": 0.30961}, "liveness": {"is_real_face": true, "liveness_probability": 0.88112}, "age": 35.95, "gender": "male", "gender_probability": 0.86915, ... | {"type": "object", "properties": {"status": {"type": "string"}, "image_file_name": {"type": "string"}, "face_count": {"type": "integer"}, "analysis_result": {"type": "array", "items": {"type": "object", "properties": {"bbox": {"type": "object", "properties": {"x1": {"type": "number"}, "y1": {"type": "number"}, "x2": {"... |
7b7bf492-a026-4a6f-8224-c0937d44af22/76f1c90c-75c7-485e-b1be-d2d4d8419ab2/0/0 | VIN Recognition/Decoder | This API extract vin from a ID cards, labels, receipts, invoices, documents, barcodes, etc and returns the information such as the manufacturer, model, year, country of origin and much more.. | 1.7 | Get Info From VIN | This endpoint returns the information of a vin such as country of origin, model, year, model, car seats, etc. | 200 | Response | [{"Manufacturer": "American Honda Motor Co Inc"}, {"Adress line 1": "100 W Alondra Blvd"}, {"Adress line 2": "Gardena CA 90248-2702,"}, {"Region": "North America"}, {"Country": "United States"}, {"Note": "Manufacturer builds more than 500 vehicles per year"}, {"Entered VIN": "19UYA42601A019296"}, {"Corrected VIN": "19U... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"Manufacturer": {"type": "string"}, "Adress line 1": {"type": "string"}, "Adress line 2": {"type": "string"}, "Region": {"type": "string"}, "Country": {"type": "string"}, "Note": {"type": "string"}, "Entered VIN": ... |
907d28d6-d1ad-4f42-a75c-f9c074fc3365/34a27e9f-a9fe-490d-95c2-2b354808b572/0/0 | Passport Recognition | Easily find and extract passport information | 8.3 | Extract_Passport_MRZ_v1_passport_post | Extract Machine Readable Zone (MRZ) on passports | 200 | Example_1 | {"confidence": "100", "mrz_valid": true, "filename": "", "expiration_date": "", "number": "", "surname": "", "names": [], "gender": "", "birth": "", "country": "", "nationality": "", "text": ""} | {"title": "MRZData", "required": ["confidence", "mrz_valid", "filename", "expiration_date", "number", "surname", "names", "gender", "birth", "country", "nationality", "text"], "type": "object", "properties": {"confidence": {"title": "Confidence", "maximum": 100, "minimum": 0, "type": "integer", "description": "Confiden... |
907d28d6-d1ad-4f42-a75c-f9c074fc3365/34a27e9f-a9fe-490d-95c2-2b354808b572/1/0 | Passport Recognition | Easily find and extract passport information | 8.3 | Extract_Passport_MRZ_v1_passport_post | Extract Machine Readable Zone (MRZ) on passports | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"type": "string"}}, "msg": {"title": "Messag... |
8199ca99-9a6a-41a6-a2cb-c1d4f55cd120/57ece31f-c328-41ad-a53f-373d61301a32/0/0 | Easy SFW | An API to detect NSFW images easily by url! | null | Classify Image by URL | Classify Image by URL with this endpoint. This classify images as following classes with probability :
Sexy
Neutral
Porn
Hentai
Drawing
| 200 | New Example | {"url": "https://i.imgur.com/k6EGPzN.jpg", "success": true, "results": {"Porn": 0.6529322862625122, "Sexy": 0.18656782805919647, "Neutral": 0.1286962926387787, "Hentai": 0.02629004418849945, "Drawing": 0.005513431504368782}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"url": {"type": "string"}, "success": {"type": "boolean"}, "results": {"type": "object", "properties": {"Porn": {"type": "number"}, "Sexy": {"type": "number"}, "Neutral": {"type": "number"}, "Hentai": {"type": "number"}, "Drawing": {"type": ... |
d3a886da-3ea0-4b50-9b3d-7995266f79fc/52173bd4-feb2-4596-89b4-0885c3842267/0/0 | Taiwan ID Card OCR | Extract all key fields from Taiwan ID card, including name, date of birth, gender, ID number, date of issue, etc. | 5.6 | Taiwan ID Card OCR | Support jpg, png, bmp, pdf, tiff, single-frame gif and other formats, the image size does not exceed 10M. | 200 | Response | {"code": "200", "status": "SUCCESS", "date": "11/23/2023 01:47:26 AM", "result": {"rotated_image_height": 1809, "image_angle": 0, "rotated_image_width": 2839, "item_list": [{"value": "\u5deb\u653f\u80b2", "position": {"bottom": 1090, "left": 508, "right": 1603, "top": 902}, "key": "name", "confidence": 0.992}, {"value"... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"code": {"type": "string"}, "status": {"type": "string"}, "date": {"type": "string"}, "result": {"type": "object", "properties": {"rotated_image_height": {"type": "integer"}, "image_angle": {"type": "integer"}, "rotated_image_width": {"type"... |
ecd2e3b9-58da-43b4-a11e-6cf975dbe082/7a0091ba-118c-4a08-89ad-3468e891c9c2/0/0 | ALPR&MRR | Automatically extract single or multiple lines of license plate numbers, truck ADR plate numbers, special characters, and identify the country code, while also recognizing the vehicle category, brand, model, generation, color, and angle. | 7.3 | alpr-mrr | Please note that vehicles without license plates will not be recognized | 200 | Response | {"code": "200", "date": "11/03/2023 12:33:25 AM", "photo": {"height": 675, "width": 1200}, "service": "ALPR&MMR", "status": "SUCCESS", "vehicles": [{"angle": "rear", "category": "CAR", "color": "WHITE", "country": "USA-OH", "generation": "Mk III (2015)", "license_plate": "PKJ9742", "license_plate_position": {"bottom": ... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"code": {"type": "string"}, "date": {"type": "string"}, "photo": {"type": "object", "properties": {"height": {"type": "integer"}, "width": {"type": "integer"}}, "required": ["height", "width"]}, "service": {"type": "string"}, "status": {"typ... |
3c730999-3ddf-4479-ad5d-287f8d505e31/dfe9f1cf-9110-4741-9262-aa8bdf059fd3/0/0 | Mantis Object Detection | Reliable and Accurate Face and Object Detection via ResNet-50 | 6.6 | Detection Objects as Json by Base64 encoded Text | Detection Objects as JSON by Base64 encoded Text.
To try this with an existing image, you can use this website: https://elmah.io/tools/base64-image-encoder/ and POST the Base64 tp this endpoint. | 200 | Response | {"number-of-objects": 1, "detected-objects": [{"label": "person", "confidence": 98.9824116230011, "bounding-box": [{"x": 0.07455971837043762, "y": 0.04716154932975769}, {"x": 0.9225395917892456, "y": 0.04716154932975769}, {"x": 0.9225395917892456, "y": 0.9939415454864502}, {"x": 0.07455971837043762, "y": 0.993941545486... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"number-of-objects": {"type": "integer"}, "detected-objects": {"type": "array", "items": {"type": "object", "properties": {"label": {"type": "string"}, "confidence": {"type": "number"}, "bounding-box": {"type": "array", "items": {"type": "ob... |
3c730999-3ddf-4479-ad5d-287f8d505e31/393b654d-bc2b-48b2-a85c-7788c21c077f/0/0 | Mantis Object Detection | Reliable and Accurate Face and Object Detection via ResNet-50 | 6.6 | Detection Objects as Json by Image URL | Any valid image URL and return JSON | 200 | Response | {"number-of-objects": 1, "detected-objects": [{"label": "person", "confidence": 98.09197783470154, "bounding-box": [{"x": 0.06937640905380249, "y": 0.022285550832748413}, {"x": 0.884888231754303, "y": 0.022285550832748413}, {"x": 0.884888231754303, "y": 1.013501763343811}, {"x": 0.06937640905380249, "y": 1.013501763343... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"number-of-objects": {"type": "integer"}, "detected-objects": {"type": "array", "items": {"type": "object", "properties": {"label": {"type": "string"}, "confidence": {"type": "number"}, "bounding-box": {"type": "array", "items": {"type": "ob... |
32a0f0cd-a4e6-4ee3-90cf-5e7ed79cbe4f/5048f3fb-c1c9-41db-a19f-9ec004c6ec2b/0/0 | Emotion Detection | Humans are used to taking in non-verbal cues from facial emotions. Now, AI can also get better at reading emotions. The model detects the following emotions on a human face: neutral, joy, sadness, surprise, anger, fear, disgust. | 8.9 | Emotion Detection for image |
For more details contact us | 200 | Response | [{"probability": 0.9997902512550354, "rectangle": {"left": 175.14981957674027, "top": 175.63757234811783, "right": 454.1455734014511, "bottom": 576.8297291278839}, "emotion": {"value": "happy", "probability": 0.9988462924957275, "sentiments": {"angry": 1.882492688309867e-05, "disgust": 5.586654879152775e-05, "fear": 3.... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"probability": {"type": "number"}, "rectangle": {"type": "object", "properties": {"left": {"type": "number"}, "top": {"type": "number"}, "right": {"type": "number"}, "bottom": {"type": "number"}}, "required": ["bot... |
5527c661-8534-4c28-a927-d0db16a7c29d/01cc0bcd-6172-4c5b-87d8-8b0afc0657f8/0/0 | Image Caption / Description Generator | This service is designed to generate appropriate captions for an input image, which can be used to provide context, create more accessible content, or aid in content discovery. | 8.3 | /api-v1.0/ImageCaption | Request Body
The request body should be a JSON object with the following keys:
{
"api_key" : "Your assigned API key"
""base64_image": "The Base64 encoded string of the image you wish to analyze"
} | 200 | 0 | {"error_code": 0, "image_caption": "a sexy woman in a black bikini and black lingerie"} | {"type": "object", "properties": {"image_caption": {"type": "string"}, "error_code": {"type": "integer"}}} |
e15a7c51-1850-48af-9c85-007f355d795d/b24f4582-2119-41e9-8341-4e8211776e2a/0/0 | Face Detection | Face Detection | null | Face Detection | Returns an array where each of the elements is a face detected in the provided image. | 200 | New Example | {"Detected_faces": [{"Probability": 0.9488824009895325, "BoundingBox": {"endY": 1916, "endX": 3665, "startY": 1049, "startX": 2798}}, {"Probability": 0.8998819589614868, "BoundingBox": {"endY": 2443, "endX": 1604, "startY": 1447, "startX": 608}}, {"Probability": 0.8902185559272766, "BoundingBox": {"endY": 1821, "endX":... | {"Detected_faces": [{"BoundingBox": {}}, {"BoundingBox": {}}, {"BoundingBox": {}}]} |
0ea5e4cf-154f-4e39-b974-338fa48de57e/324b6474-6abf-43e9-993a-40fb752952af/0/0 | Face Detection | GoldWare provides fast and accurate Face Detection at an unmatched price.
100,000 API calls per month for only $8.99. | null | Detect Faces | Detects faces in the image given. Returns the bounding boxes and confidence ratings of all detected faces. | 200 | Example_1 | {"detected_faces": [{"bbox": {"x1": 410, "y1": 293, "x2": 508, "y2": 424}, "confidence": 0.9999239444732666}, {"bbox": {"x1": 1245, "y1": 209, "x2": 1340, "y2": 341}, "confidence": 0.9997527003288269}, {"bbox": {"x1": 182, "y1": 354, "x2": 283, "y2": 489}, "confidence": 0.99933260679245}, {"bbox": {"x1": 1028, "y1": 38... | {"type": "object", "properties": {"detected_faces": {"type": "array", "items": {"type": "object", "properties": {"bbox": {"type": "object", "properties": {"x1": {"type": "integer"}, "y1": {"type": "integer"}, "x2": {"type": "integer"}, "y2": {"type": "integer"}}}, "confidence": {"type": "number"}}}}}} |
0ea5e4cf-154f-4e39-b974-338fa48de57e/324b6474-6abf-43e9-993a-40fb752952af/1/0 | Face Detection | GoldWare provides fast and accurate Face Detection at an unmatched price.
100,000 API calls per month for only $8.99. | null | Detect Faces | Detects faces in the image given. Returns the bounding boxes and confidence ratings of all detected faces. | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "inte... |
c9ac2c90-ecb7-4160-8f12-0014dbdffead/24f04a2f-9981-474f-ad2f-119f3df31379/0/0 | Text Captcha Solver | There are some captchas that are made by TEXT patterns. This API solve them. | 7.8 | /txtCaptcha | Solves a text captcha by providing the input text. | 400 | Example_1 | {"error": ""} | {"type": "object", "properties": {"error": {"type": "string"}}} |
c9ac2c90-ecb7-4160-8f12-0014dbdffead/24f04a2f-9981-474f-ad2f-119f3df31379/1/0 | Text Captcha Solver | There are some captchas that are made by TEXT patterns. This API solve them. | 7.8 | /txtCaptcha | Solves a text captcha by providing the input text. | 200 | Example_1 | {"solvedtext": ""} | {"type": "object", "properties": {"solvedtext": {"type": "string"}}} |
0f6213d7-f60f-4657-a47a-aa9ac12c69a2/bca75c15-4f7e-49b0-acfb-8f5bc6f9ba75/0/0 | OCR Extract text | Unlock precise text extraction from images and PDFs. Our API ensures exceptional accuracy and high performance, swiftly processing data with reliability. Seamlessly integrate with Base64 encoding for flexible workflow support. Ideal for detailed document analysis, efficient data indexing, and streamlined workflows. Int... | 5.8 | File-Based Text Extraction | For optimal performance, keep these points in mind:
Size Recommendation:
Ensure your file size stays below 10MB. This recommendation helps maintain efficient processing.
Supported Formats:
We support the following file types: WEBP, JPEG, PNG, and PDF.
Adhering to these guidelines ensures a smooth and effective experien... | 200 | success | {"response": {"error": 0, "execution_time": 123.45, "text": "Example text", "type": "exampleType"}} | {"type": "object", "properties": {"response": {"type": "object", "properties": {"error": {"type": "integer"}, "execution_time": {"type": "number"}, "text": {"type": "string"}, "type": {"type": "string"}}}}} |
0f6213d7-f60f-4657-a47a-aa9ac12c69a2/5377b084-b567-4d2c-93a1-3e301ff3ff69/0/0 | OCR Extract text | Unlock precise text extraction from images and PDFs. Our API ensures exceptional accuracy and high performance, swiftly processing data with reliability. Seamlessly integrate with Base64 encoding for flexible workflow support. Ideal for detailed document analysis, efficient data indexing, and streamlined workflows. Int... | 5.8 | Text Extraction from URL | Ensure a seamless text extraction process:
Valid Input:
Provide a valid link to a supported document or use a Base64 data URL (max length: 1MB).
File Size Limit:
Recommended file size is under 10MB for optimal performance.
Supported Types:
WEBP
JPEG
PNG
PDF | 200 | New Example | {"response": {"error": 0, "execution_time": 123.45, "text": "Example text", "type": "exampleType"}} | {"type": "object", "properties": {"response": {"type": "object", "properties": {"error": {"type": "integer"}, "execution_time": {"type": "number"}, "text": {"type": "string"}, "type": {"type": "string"}}}}} |
13a2056b-a04d-4074-836b-171f11194c70/7f284e6c-fd16-44dc-aa48-5fe0cd02ad28/0/0 | Nude Detect (Video) | Use NetSpark's Nude and pornography image processing engine for high accuracy detection of nudity, sexuality and pornography in videos. Use the confidence rating to define an acceptable risk level for your audience. If you don't have tolerance for false positives we recommend defining 2% confidence as your limit for ac... | null | Detect Nudity in Web-Hosted Video | Detect Nudity in Web-Hosted Video | 200 | New Example | {"frames": {"is minimal clothing": {"Possible": "0%", "Very Likely": "0%"}, "nude": {"Possible": "0%", "Very Likely": "0%"}}, "is minimal clothing": "Very Unlikely", "is nude": "Very Unlikely", "result code": "14", "status": "success", "summary_frames": "119", "video duration": "00:02:59.32", "video url": "https://samp... | {"properties": {"frames": {"properties": {"is minimal clothing": {"properties": {"Possible": {"type": "string"}, "Very Likely": {"type": "string"}}, "type": "object"}, "nude": {"properties": {"Possible": {"type": "string"}, "Very Likely": {"type": "string"}}, "type": "object"}}, "type": "object"}, "is minimal clothing"... |
3cfa1e95-1095-4d94-b747-73666e68d5e8/c1463168-e94a-45c1-ab83-fe966a3dbb51/0/0 | Cameralyze | Cameralyze is a no-code platform that has lots of AI components and algorithms. | null | Face Bluring Endpoints | Detects faces and blurs all of them. | 200 | New Example | {"image_url": "https://cmz-temp-files.s3.amazonaws.com/620f25b7-30d9-4fef-98af-a64af305a93c.png?AWSAccessKeyId=ASIATJFBOSWIZISSUDWA&Signature=z3uQtJRydTI8NwkpG97LiLvmjY8%3D&x-amz-security-token=IQoJb3JpZ2luX2VjEGcaCWV1LXdlc3QtMSJHMEUCIGBUsDSOABCUgfGjlrRkE7ZvPHeD%2FPfF8RKgmhpHHIwQAiEAm56NyEEtIUv2IvDIh45chzRekCiffyPeZruY... | {"type": "object", "properties": {"image_url": {"type": "string"}, "date": {"type": "string"}, "order": {"type": "integer"}}} |
3cfa1e95-1095-4d94-b747-73666e68d5e8/164b9453-6c10-4734-ac51-7780852e2ff9/0/0 | Cameralyze | Cameralyze is a no-code platform that has lots of AI components and algorithms. | null | Age & Gender Detection | Detects age and gender. | 200 | New Example | {"detections": [{"confidence": 99.99011993408203, "left": 119, "top": 54, "width": 48, "height": 69, "gender": {"gender": "Male", "confidence": 99.9594955444336}, "age": {"minimum": 37, "maximum": 45}}, {"confidence": 99.93456268310547, "left": 249, "top": 17, "width": 49, "height": 67, "gender": {"gender": "Male", "co... | {"type": "object", "properties": {"detections": {"type": "array", "items": {"type": "object", "properties": {"confidence": {"type": "number"}, "left": {"type": "integer"}, "top": {"type": "integer"}, "width": {"type": "integer"}, "height": {"type": "integer"}, "gender": {"type": "object", "properties": {"gender": {"typ... |
3cfa1e95-1095-4d94-b747-73666e68d5e8/035338de-30f4-479d-a225-bc68d989c872/0/0 | Cameralyze | Cameralyze is a no-code platform that has lots of AI components and algorithms. | null | Background Remover | Removes background of images. | 200 | New Example | {"image_url": "https://cmz-public.s3.eu-west-1.amazonaws.com/images/64c87706-9d6a-4e55-80d7-6aca93798d34.png", "date": "2022-10-19T10:03:30.694465", "order": 1666173810} | {"type": "object", "properties": {"image_url": {"type": "string"}, "date": {"type": "string"}, "order": {"type": "integer"}}} |
3cfa1e95-1095-4d94-b747-73666e68d5e8/47fca8cc-bec2-438d-933e-0045618353d5/0/0 | Cameralyze | Cameralyze is a no-code platform that has lots of AI components and algorithms. | null | Face Detection | Detects faces and return the coordinates. | 200 | New Example | {"detections": [{"confidence": 99.99011993408203, "left": 119, "top": 54, "width": 48, "height": 69}, {"confidence": 99.93456268310547, "left": 249, "top": 17, "width": 49, "height": 67}, {"confidence": 99.81285095214844, "left": 472, "top": 73, "width": 46, "height": 63}, {"confidence": 99.98607635498047, "left": 380,... | {"type": "object", "properties": {"detections": {"type": "array", "items": {"type": "object", "properties": {"confidence": {"type": "number"}, "left": {"type": "integer"}, "top": {"type": "integer"}, "width": {"type": "integer"}, "height": {"type": "integer"}}}}, "date": {"type": "string"}, "order": {"type": "integer"}... |
d60eb263-beee-49f2-9cde-b18ddbe190ee/9f6677a0-cffb-43c3-97ab-f5007e1cb491/0/0 | Malasyia Driving License OCR | Extract all key fields from Malaysia Driving License including Malaysia Driving License Name, Date of Birth, License Number, Date of Issue, Expiry Date and Head Portrait. | 6.5 | Malasyia Driving License OCR | Support jpg, png, bmp, pdf, tiff, single-frame gif and other formats, the image size does not exceed 10M. | 200 | Response | {"code": "200", "status": "SUCCESS", "date": "11/23/2023 12:55:30 AM", "result": {"rotated_image_height": 446, "image_angle": 0, "rotated_image_width": 707, "type": "malaysia_driving_license", "details": {"driving_license_level": {"value": "B2 D", "position": {"bottom": 295, "left": 225, "right": 266, "top": 280}}, "ad... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"code": {"type": "string"}, "status": {"type": "string"}, "date": {"type": "string"}, "result": {"type": "object", "properties": {"rotated_image_height": {"type": "integer"}, "image_angle": {"type": "integer"}, "rotated_image_width": {"type"... |
9e52b514-f148-4516-b9bf-ca7fd5df7268/d8b6b5f0-d094-4fe4-99b6-5a7ff7a2a4b9/1/0 | Optical character recognition | Powered by AWS Textract - Streamline document handling, accelerate data extraction, and minimize errors. OCR software transforms documents into editable and searchable formats, enhancing productivity and paving the way for a more streamlined and digitized workflow. This powerful service offers exceptional accuracy, ea... | 6.6 | OcrDetail | Detail example | 200 | Example_1 | [{"Confidence": 99.7843246459961, "Text": "What is OCR (Optical Character Recognition)?", "Type": "line", "BoundingBox": {"Height": 0.015610243193805218, "Left": 0.05871028080582619, "Top": 0.0687444880604744, "Width": 0.40154320001602173}}, {"Confidence": 98.88011169433594, "Text": "document.", "Type": "word", "Boundi... | {"type": "array", "title": "OcrEntityResponse", "items": {"type": "object", "title": "OcrEntity", "additionalProperties": false, "required": ["Confidence", "text", "type", "BoundingBox"], "properties": {"Confidence": {"type": "number"}, "text": {"type": "string"}, "type": {"type": "string", "enum": ["word", "line"], "t... |
9e52b514-f148-4516-b9bf-ca7fd5df7268/2e3d9f90-fe91-4669-9510-0f4aa6cd4cdf/1/0 | Optical character recognition | Powered by AWS Textract - Streamline document handling, accelerate data extraction, and minimize errors. OCR software transforms documents into editable and searchable formats, enhancing productivity and paving the way for a more streamlined and digitized workflow. This powerful service offers exceptional accuracy, ea... | 6.6 | OcrWord | Word example | 200 | Example_1 | [{"Confidence": 99.96228790283203, "Text": "What", "Type": "word", "BoundingBox": {"Height": 0.011988956481218338, "Left": 0.058710526674985886, "Top": 0.06919389963150024, "Width": 0.045812174677848816}}, {"Confidence": 99.92723083496094, "Text": "OCR", "Type": "word", "BoundingBox": {"Height": 0.012052597478032112, "... | {"type": "array", "title": "OcrEntityResponse", "items": {"type": "object", "title": "OcrEntity", "additionalProperties": false, "required": ["Confidence", "text", "type", "BoundingBox"], "properties": {"Confidence": {"type": "number"}, "text": {"type": "string"}, "type": {"type": "string", "enum": ["word", "line"], "t... |
9e52b514-f148-4516-b9bf-ca7fd5df7268/2821fe21-7796-44fa-a54e-e85840e20ae3/0/0 | Optical character recognition | Powered by AWS Textract - Streamline document handling, accelerate data extraction, and minimize errors. OCR software transforms documents into editable and searchable formats, enhancing productivity and paving the way for a more streamlined and digitized workflow. This powerful service offers exceptional accuracy, ea... | 6.6 | OcrLine | Line example | 200 | Example_1 | [{"Confidence": 99.7843246459961, "Text": "What is OCR (Optical Character Recognition)?", "Type": "line", "BoundingBox": {"Height": 0.015610243193805218, "Left": 0.05871028080582619, "Top": 0.0687444880604744, "Width": 0.40154320001602173}}, {"Confidence": 99.79827117919922, "Text": "if you scan a form or a receipt, yo... | {"type": "array", "title": "OcrEntityResponse", "items": {"type": "object", "title": "OcrEntity", "additionalProperties": false, "required": ["Confidence", "text", "type", "BoundingBox"], "properties": {"Confidence": {"type": "number"}, "text": {"type": "string"}, "type": {"type": "string", "enum": ["word", "line"], "t... |
930de94d-b44b-4a9e-81a1-29c75597f209/40cc52f3-804c-49fe-923b-72426ce350e2/0/0 | Document OCR | Extract structured text and portraits from various ID cards, passports, driver's licenses, etc. Support for 200+ countries and regions and 10,000+ document types.
It can also recognize MRZ and QR/BarCodes. | 9.6 | Document OCR | Not limited to some examples shown in the document. | 200 | Response | {"code": "200", "status": "SUCCESS", "data": {"countryName": "Netherlands", "documentName": "Passport", "errorCode": 0, "image": {"documentFrontSide": "/9j/4AAQSkZJRgABAQEAxwDHAAD/ ", "portrait": "/9j/4AAQSkZJRgABAQEAxwDHAAD/ ", "signature": "/9j/4AAQSkZJRgABAQEAxwDHAAD/ "}, "mrz": {"dateOfBirth": "1965-03-10", "dateOf... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"code": {"type": "string"}, "status": {"type": "string"}, "data": {"type": "object", "properties": {"countryName": {"type": "string"}, "documentName": {"type": "string"}, "errorCode": {"type": "integer"}, "image": {"type": "object", "propert... |
bd2a03d6-9d50-48dd-80c2-c43a230baf18/fbab5625-96b7-42cd-a23e-243e5de9926d/0/0 | Image To Text OCR | Automated language detection (hybrid approach) and text extraction from diverse types of images, including handwritten ones. Supports a wide range of formats including JPEG, PNG8, PNG24, GIF, BMP, WEBP, RAW, and ICO. | 9.1 | Image To Text OCR | The larger the file, the higher the accuracy of recognition, but smaller sizes can lead to a decrease in recognition accuracy. Therefore, we recommend that the maximum size should not exceed 4MB | 200 | Response | {"status": "SUCCESS", "text": "\u591a\u8a00\u8a9e\u6587\u7ae0\u306e\u4f8b\r\nAn example of multilingual text\r\n\"pabCTeyure\" \u306f\u3001\u82f1\u8a9e\u3067 Hello \u3068\u3044\u3046\u610f\u5473\u306e\u30ed\u30b7\u30a2\u8a9e\u3067\r\n\u3059\u3002\u65e5\u672c\u8a9e\u306a\u3089\u300c\u3053\u3093\u306b\u3061\u306f\u300d\u... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "text": {"type": "string"}}, "required": ["status", "text"]} |
ed2849ba-56ba-4f1e-a67c-52ff8431e91c/535ca94e-851d-4c9e-a248-0e13ffb376cc/0/0 | Background Remover | PixCleaner offers a REST API that allows you to easily use and interact with our service programmatically. Using our HTTP interface integrate our background removal features into any business or application. | 0.2 | autoRemoveBGSingleImage | removes the background from a single image specified by the user.
Content : Any picture with a separate foreground object from the background (human, animal, product, etc..)
Source : a file upload ( binary file ), url or a base64 format of your image.
returns a url of a semi-transparent PNG image encoded in a json ob... | 200 | null | {"image": {"id": "", "originalImage": {"path": "https://cdn.pixcleaner.com/imgs/users/userId/imageId.jpg", "width": "720px", "height": "640px", "mimeType": "image/jpeg"}, "resultImage": {"path": "https://cdn.pixcleaner.com/imgs/users/userId/removedImageId.jpg", "width": "720px", "height": "640px"}}} | {"type": "object", "properties": {"image": {"type": "object", "properties": {"id": {"type": "string"}, "originalImage": {"type": "object", "properties": {"path": {"type": "string", "format": "uri"}, "width": {"type": "number"}, "height": {"type": "number"}, "mimeType": {"type": "string"}}}, "resultImage": {"type": "obj... |
ed2849ba-56ba-4f1e-a67c-52ff8431e91c/a80bffd4-6c2b-42ce-9061-42f44232d810/0/0 | Background Remover | PixCleaner offers a REST API that allows you to easily use and interact with our service programmatically. Using our HTTP interface integrate our background removal features into any business or application. | 0.2 | getAccount | Returns a description of your user account information.
Useful to get the remaining credits on your account | 200 | null | {"id": "12938782da1ea358761c23", "name": "John Doe", "email": "john.doe@example.com", "credits": 3493} | {"type": "object", "properties": {"id": {"type": "string", "description": "user id as it is stored in our system"}, "name": {"type": "string", "description": "the user's name"}, "email": {"type": "string", "format": "email", "description": "the user's email"}, "credits": {"type": "number", "description": "the remaining... |
ed2849ba-56ba-4f1e-a67c-52ff8431e91c/a24d8f4d-e06b-46b9-a244-3ab417241d57/0/0 | Background Remover | PixCleaner offers a REST API that allows you to easily use and interact with our service programmatically. Using our HTTP interface integrate our background removal features into any business or application. | 0.2 | improvePixCleaner | Be part of our improve program.If you believe that a picture is not yet managed correctly by our AI algorithms,
you can submit it here. | 200 | null | {"state": "success"} | {"type": "object", "properties": {"state": {"type": "string"}}} |
ed2849ba-56ba-4f1e-a67c-52ff8431e91c/b5b1f7e5-f436-421a-9225-027c0e7b9b7f/0/0 | Background Remover | PixCleaner offers a REST API that allows you to easily use and interact with our service programmatically. Using our HTTP interface integrate our background removal features into any business or application. | 0.2 | getImage | Retuns the result of an image that was previously handled by autoremove route for the given image Id.
accepts two parameters:
- imageId: The Id of the image to get.
- recompute: bollean, if set to true, asks the server to remove the backgorund again for the specified ID (costs credits). | 200 | null | {"image": {"id": "", "originalImage": {"path": "https://cdn.pixcleaner.com/imgs/users/userId/imageId.jpg", "width": "720px", "height": "640px", "mimeType": "image/jpeg"}, "resultImage": {"path": "https://cdn.pixcleaner.com/imgs/users/userId/removedImageId.jpg", "width": "720px", "height": "640px"}}} | {"type": "object", "properties": {"image": {"type": "object", "properties": {"id": {"type": "string"}, "originalImage": {"type": "object", "properties": {"path": {"type": "string", "format": "uri"}, "width": {"type": "number"}, "height": {"type": "number"}, "mimeType": {"type": "string"}}}, "resultImage": {"type": "obj... |
d82422fe-aa13-4965-95a6-36b74f27e231/76913fcb-6953-4bd4-a335-5fb9ed8cc184/0/0 | Face Detection With Age and Emotions Features | Use our Face Detection API to detect the location of human faces in your images with optional extra features like Age, Gender, Emotions and Facial Features (Sunglasses, Beard etc...). | 5.8 | Face Detection with Age, Gender, Emotions & Facial Features | Use our Face Detection API to detect the location of human faces in your images along with their predicted ages, genders, emotions & facial features
*Image must be a regular JPEG or PNG image. Usually such images have extensions: .jpg, .jpeg, .png. The service checks input file by MIME type … | 400 | Error result | {"request": {"image_url": "https://cdn.pixabay.com/photo/2017/06/20/22/14/man-2425121__340.jp"}, "success": false, "message": "[ERROR]: Please try again with different image url or make sure image is available for download"} | {"type": "object", "properties": {"request": {"type": "object", "properties": {"image_url": {"type": "string"}}}, "success": {"type": "boolean"}, "message": {"type": "string"}}} |
d82422fe-aa13-4965-95a6-36b74f27e231/76913fcb-6953-4bd4-a335-5fb9ed8cc184/1/0 | Face Detection With Age and Emotions Features | Use our Face Detection API to detect the location of human faces in your images with optional extra features like Age, Gender, Emotions and Facial Features (Sunglasses, Beard etc...). | 5.8 | Face Detection with Age, Gender, Emotions & Facial Features | Use our Face Detection API to detect the location of human faces in your images along with their predicted ages, genders, emotions & facial features
*Image must be a regular JPEG or PNG image. Usually such images have extensions: .jpg, .jpeg, .png. The service checks input file by MIME type … | 200 | Success result | {"total_people": 2, "success": true, "message": "Object test analyzed successfully!", "detect_faces": [{"Beard": {"Confidence": 92.97073364257812, "Value": false}, "AgeRange": {"High": 31, "Low": 23}, "Mustache": {"Confidence": 98.25421905517578, "Value": false}, "Gender": {"Confidence": 99.98704528808594, "Value": "Fe... | {"type": "object", "properties": {"total_people": {"type": "integer"}, "success": {"type": "boolean"}, "message": {"type": "string"}, "detect_faces": {"type": "array", "items": {"type": "object", "properties": {"Beard": {"type": "object", "properties": {"Confidence": {"type": "number"}, "Value": {"type": "boolean"}}}, ... |
d82422fe-aa13-4965-95a6-36b74f27e231/0b922734-a89e-40f0-a972-40547c4509c5/0/0 | Face Detection With Age and Emotions Features | Use our Face Detection API to detect the location of human faces in your images with optional extra features like Age, Gender, Emotions and Facial Features (Sunglasses, Beard etc...). | 5.8 | Face Detection | Use our Face Detection API to detect the location of human faces in your images.
*Image must be a regular JPEG or PNG image. Usually such images have extensions: .jpg, .jpeg, .png. The service checks input file by MIME type … | 400 | Error Result | {"request": {"image_url": "https://cdn.pixabay.com/photo/2017/06/20/22/14/man-2425121__340.jp"}, "success": false, "message": "[ERROR]: Please try again with different image url or make sure image is available for download"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"request": {"type": "object", "properties": {"image_url": {"type": "string"}}, "required": ["image_url"]}, "success": {"type": "boolean"}, "message": {"type": "string"}}, "required": ["message", "request", "success"]} |
d82422fe-aa13-4965-95a6-36b74f27e231/0b922734-a89e-40f0-a972-40547c4509c5/1/0 | Face Detection With Age and Emotions Features | Use our Face Detection API to detect the location of human faces in your images with optional extra features like Age, Gender, Emotions and Facial Features (Sunglasses, Beard etc...). | 5.8 | Face Detection | Use our Face Detection API to detect the location of human faces in your images.
*Image must be a regular JPEG or PNG image. Usually such images have extensions: .jpg, .jpeg, .png. The service checks input file by MIME type … | 200 | Success result | {"total_people": 2, "success": true, "message": "Object test analyzed successfully!", "detect_faces": [{"Confidence": 99.96906280517578, "Quality": {"Brightness": 85.39833068847656, "Sharpness": 20.927310943603516}, "BoundingBox": {"Left": 0.8350318074226379, "Top": 0.17726090550422668, "Height": 0.186831533908844, "Wi... | {"type": "object", "properties": {"total_people": {"type": "integer"}, "success": {"type": "boolean"}, "message": {"type": "string"}, "detect_faces": {"type": "array", "items": {"type": "object", "properties": {"Confidence": {"type": "number"}, "Quality": {"type": "object", "properties": {"Brightness": {"type": "number... |
e1147b37-e2c6-451c-8cca-99bd1b2275a2/b9f389b9-faa5-4330-a787-3b37e3b1d3e7/0/0 | PDF OCR | This API extracts texts from pdf with high accuracy | 0.1 | Upload PDF | This endpoint handles pdf files and returns texts as response | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "inte... |
e1147b37-e2c6-451c-8cca-99bd1b2275a2/b9f389b9-faa5-4330-a787-3b37e3b1d3e7/1/0 | PDF OCR | This API extracts texts from pdf with high accuracy | 0.1 | Upload PDF | This endpoint handles pdf files and returns texts as response | 200 | Example_1 | {"text": "Attention Is All You Need Ashish Vaswani* Noam Shazeer* Niki Parmar* Jakob Uszkoreit* Google Brain Google Brain Google Research Google Research avaswani@google.com noam@google.com nikip@google.com usz@google.com Llion Jones* Aidan N. Gomez* FLukasz Kaiser* Google Research University of Toronto Google Brain ... | {"type": "object", "properties": {"text": {"type": "string"}}} |
5d6735f3-50d1-48e2-bdb9-ebc35d295ef7/9e303983-621b-4829-8207-0f589bf2ba61/0/0 | BioID | Facial Authentication over API! Use our ML model to identify faces! | null | Remove User | Removes user from your application | 200 | Response | {"result": {"message": "User removed"}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"result": {"type": "object", "properties": {"message": {"type": "string"}}, "required": ["message"]}}, "required": ["result"]} |
5d6735f3-50d1-48e2-bdb9-ebc35d295ef7/8b9ef5e0-471f-4afb-83c2-e3f2754e6e26/0/0 | BioID | Facial Authentication over API! Use our ML model to identify faces! | null | Get Information | Returns the amount of users on your application and the current user names. | 200 | Response | {"result": {"users": [], "userCount": 0}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"result": {"type": "object", "properties": {"users": {"type": "array"}, "userCount": {"type": "integer"}}, "required": ["userCount", "users"]}}, "required": ["result"]} |
5d6735f3-50d1-48e2-bdb9-ebc35d295ef7/39af5fa9-33b6-4b87-9a9a-291f7a2219d0/0/0 | BioID | Facial Authentication over API! Use our ML model to identify faces! | null | Check User | Validate a user's photo among the uploaded photos on your application. Supports PNG's and JPG's. | 200 | Response | {"result": {"user": "Bob", "confidence": "0.54"}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"result": {"type": "object", "properties": {"user": {"type": "string"}, "confidence": {"type": "string"}}, "required": ["confidence", "user"]}}, "required": ["result"]} |
5d6735f3-50d1-48e2-bdb9-ebc35d295ef7/a81bafd3-d98e-4eca-a170-505afc8a3690/0/0 | BioID | Facial Authentication over API! Use our ML model to identify faces! | null | Add User Photo | Adds a user photo to your application. PNG's and JPG's are supported. | 200 | Response | {"message": "User added"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"message": {"type": "string"}}, "required": ["message"]} |
01d7f147-dedf-4267-9f3b-1e7e68860c67/c2d96fb2-2cf8-453a-a216-8b813ae07d47/0/0 | Image recognition and prediction | Detect objects on images or predict what is on image. | null | image_prediction_base64image_prediction_post | This endpoint takes an image and return 10 predictions what is on image. | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"type": "string"}, "title": "Location", "type": "array"}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}, "required": ["loc", "msg", "type"], "title": "ValidationError", "type": "object"}, "title": "... |
01d7f147-dedf-4267-9f3b-1e7e68860c67/981bd153-0804-4e81-ac49-57e1a59fc32c/0/0 | Image recognition and prediction | Detect objects on images or predict what is on image. | null | image_recognition_base64image_recognition_post | This endpoint receive image as base64 string and can return you JSON with detected objects and base64 image with draw boxes. | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"type": "string"}, "title": "Location", "type": "array"}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}, "required": ["loc", "msg", "type"], "title": "ValidationError", "type": "object"}, "title": "... |
b1f7cbe4-745c-47f5-a9d4-f720dbaf0bb3/55a8fd6d-3920-4b41-b91f-5fc23b54837d/2/0 | Image Sentiment Analysis | SimpleSent is an image sentiment analysis API. It identifies and interprets emotions portrayed within an image. There are several use cases such as analyzing emotions in editorial illustrations, product reviews, and social media posts. At this time, our models have high accuracy and perform well under edge-case scenari... | 5.3 | sentiment | Run image sentiment analysis | 200 | Example_1 | {"sentiment": "very positive", "sentiment_score": 0} | {"type": "object", "properties": {"sentiment": {"type": "string", "enum": ["very positive", "very negative", "positive", "neutral", "negative"]}, "sentiment_score": {"type": "number", "minimum": -1, "maximum": 1}}} |
06812c73-6543-4179-a3e5-102b4a5aaedf/0e166a31-5e73-4417-9b8a-73d79971cc6b/0/0 | Redactor Detector | Detect sensitive information inside images, PDFs or raw text, and redact it, for safe upload. | null | Redact only user keywords | Detect and redact only the provided keywords by the user. This can be useful in cases where you want to redact names or information only the user knows about, and doesn't want to deal with the multiple parameters in the redact all API call. | 200 | Response | {"findings": [{"keyword": "military"}, {"keyword": "military"}, {"keyword": "military"}, {"keyword": "against"}, {"keyword": "military"}, {"keyword": "against"}, {"keyword": "against"}], "url": "https://redacted-api-bucket.s3.amazonaws.com/redacted-c3c278bb151f5440973d9dbc35f03a20c12ebda640a2f00493761b2c238b4272.jpeg"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"findings": {"type": "array", "items": {"type": "object", "properties": {"keyword": {"type": "string"}}, "required": ["keyword"]}}, "url": {"type": "string"}}, "required": ["findings", "url"]} |
06812c73-6543-4179-a3e5-102b4a5aaedf/57b921bf-28a4-4efb-9e90-f00a02769561/0/0 | Redactor Detector | Detect sensitive information inside images, PDFs or raw text, and redact it, for safe upload. | null | Redact all with URL | Pass an image URL, and redact all sensitive information in the image. | 200 | Response | {"findings": [{"keyword": "military"}, {"keyword": "military"}, {"keyword": "military"}, {"keyword": "military"}], "url": "https://redacted-api-bucket.s3.amazonaws.com/redacted-c3c278bb151f5440973d9dbc35f03a20c12ebda640a2f00493761b2c238b4272.jpeg"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"findings": {"type": "array", "items": {"type": "object", "properties": {"keyword": {"type": "string"}}, "required": ["keyword"]}}, "url": {"type": "string"}}, "required": ["findings", "url"]} |
06812c73-6543-4179-a3e5-102b4a5aaedf/57b921bf-28a4-4efb-9e90-f00a02769561/1/0 | Redactor Detector | Detect sensitive information inside images, PDFs or raw text, and redact it, for safe upload. | null | Redact all with URL | Pass an image URL, and redact all sensitive information in the image. | 400 | Response | {"detail": "Invalid 'redact_possible_cc' value"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"detail": {"type": "string"}}, "required": ["detail"]} |
4aa109b3-6107-4f59-91c5-48bb9bff00a7/d519ce50-2e58-4fbd-b2de-6e1267aa1ff6/0/0 | Text Plus Recognition | Extract printed, handwritten, slanted, folded, rotated characters from images and PDF files in over 50 different languages. Output includes text content, as well as coordinates and orientation of the text position in the image.View Document | 6.8 | text plus recognition | Supports most formats such as jpg, png, bmp, pdf, tiff, single-frame gif, etc., with a file size of no more than 10M and an image width and height of between 20 and 10000 (pixels). | 200 | Response | {"code": "200", "status": "SUCCESS", "service": "text_ocr", "date": "11/19/2023 10:25:06 PM", "result": {"angle": 0, "width": 1898, "lines": [{"angle": 0, "type": "text", "direction": 1, "handwritten": 0, "score": 0.977, "position": [251, 204, 547, 198, 548, 291, 253, 297], "text": "salut"}, {"angle": 0, "type": "text"... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"code": {"type": "string"}, "status": {"type": "string"}, "service": {"type": "string"}, "date": {"type": "string"}, "result": {"type": "object", "properties": {"angle": {"type": "integer"}, "width": {"type": "integer"}, "lines": {"type": "a... |
1fa092bb-a070-4d8e-aab6-3a61adf271a5/51e94bd3-4c08-46d0-82f4-2f2589ca0b9d/0/0 | Vinscanapi.com | An API that scans an image of a V.I.N. (Vehicle Identification Number) Tag or Label and returns the V.I.N. as a validated string. The result can also be extended to provide a fully qualified vehicle information for the scanned V.I.N.. | null | Upload Image for V.I.N. FULL Processing | A POST endpoint that accepts JPEG or PNG file and process the image to find a valid V.I.N. (Vehicle Identification Number) and return a detailed car information in a JSON response for any found V.I.N. | 200 | Response | {"anti_brake_system": "Non-Abs | 4-Wheel ABS", "city_mileage": "21 - 22 miles/gallon", "engine": "2.0L I4 MPI", "highway_mileage": "29 miles/gallon", "made_in": "Japan", "make": "Mitsubishi", "model": "Lancer ES", "optional_seating": null, "overall_height": "58.70 inches", "overall_length": "180.00 inches", "overall_wi... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"anti_brake_system": {"type": "string"}, "city_mileage": {"type": "string"}, "engine": {"type": "string"}, "highway_mileage": {"type": "string"}, "made_in": {"type": "string"}, "make": {"type": "string"}, "model": {"type": "string"}, "option... |
ec410847-e7a3-48dd-a832-8c75c18027f1/c613867f-4a6d-4d21-8c56-7bf5936343f2/0/0 | Skin analysis | Provides multi-dimensional detailed skin analysis on the skin, comprehensive detection and identification of skin color, skin smoothness, acne spots, wrinkles, pores, blackheads, dark circles and eye bags, etc., accurate to such as blood vessel dark circles, acne marks, etc. detail | 8.8 | Skin analysis |
Image requirements
Image format: JPG, PNG, BMP.
Image size: no more than 8 MB.
Image resolution: Below 1920x1080.
| 200 | Success | {"request_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "log_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "error_code": 0, "result": {"face_num": 1, "face_list": [{"face_token": "5b85d6d0f9d4044e0cc829ea4be7fab5", "location": {"left": 313.97, "top": 417.37, "width": 571, "height": 634, "degree": 5}, "skin": {"color": 1,... | {"request_id": {"type": "string", "required": false, "description": "Request ID."}, "log_id": {"type": "string", "required": false, "description": "Log ID."}, "error_code": {"type": "integer", "required": false, "description": "Error Code."}, "error_code_str": {"type": "string", "required": false, "description": "Error... |
ec410847-e7a3-48dd-a832-8c75c18027f1/c613867f-4a6d-4d21-8c56-7bf5936343f2/0/1 | Skin analysis | Provides multi-dimensional detailed skin analysis on the skin, comprehensive detection and identification of skin color, skin smoothness, acne spots, wrinkles, pores, blackheads, dark circles and eye bags, etc., accurate to such as blood vessel dark circles, acne marks, etc. detail | 8.8 | Skin analysis |
Image requirements
Image format: JPG, PNG, BMP.
Image size: no more than 8 MB.
Image resolution: Below 1920x1080.
| 200 | Error | {"request_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "log_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "error_code": 400, "error_code_str": "ERROR_PARAMETERS", "error_msg": "image cannot be empty"} | {"request_id": {"type": "string", "required": false, "description": "Request ID."}, "log_id": {"type": "string", "required": false, "description": "Log ID."}, "error_code": {"type": "integer", "required": false, "description": "Error Code."}, "error_code_str": {"type": "string", "required": false, "description": "Error... |
ec410847-e7a3-48dd-a832-8c75c18027f1/c613867f-4a6d-4d21-8c56-7bf5936343f2/1/0 | Skin analysis | Provides multi-dimensional detailed skin analysis on the skin, comprehensive detection and identification of skin color, skin smoothness, acne spots, wrinkles, pores, blackheads, dark circles and eye bags, etc., accurate to such as blood vessel dark circles, acne marks, etc. detail | 8.8 | Skin analysis |
Image requirements
Image format: JPG, PNG, BMP.
Image size: no more than 8 MB.
Image resolution: Below 1920x1080.
| 401 | New Example | {"message": "Invalid API key in request"} | {"type": "object", "properties": {"message": {"type": "string", "required": true, "example": "Invalid API key in request", "description": "Error Message."}}} |
a1ca7aa2-2a91-4573-8ceb-51f3a9bdd0d0/d5fd657b-dcdd-40dd-95d9-062ea0d73375/0/0 | OCR Text Detection | Extract text, boundingBoxes, score, locale and dimensions from image using (google vision text detection) | 4.9 | POST Text Detection | the important thing is that you should use image as a form_data key
Example const data = new FormData(); data.append(‘image’, ‘image_path’); | 200 | New Example | {"success": true, "text": "SMASHING DOCS\nYOUR COMPANY\nSTREET ADDRESS\nCITY, ZIP CODE\nPHONE\nDESCRIPTION\nWEB DESIGN & DEVELOPMENT\nLOGO DESIGN\nSTATIONERY DESIGN\nCONTENT WRITING\nINVOICE NO. #000188\nDATE: NOVEMBER 18TH, 2017\nTO\nCLIENT COMPANY\nSTREET ADDRESS\nCITY, ZIP CODE\nPHONE\nSUB TOTAL\nDISCOUNT\nTOTAL\nAC... | {"type": "object", "properties": {"success": {"type": "boolean"}, "text": {"type": "string"}, "locale": {"type": "string"}, "dimensions": {"type": "object", "properties": {"height": {"type": "integer"}, "width": {"type": "integer"}, "type": {"type": "string"}}}, "ocr": {"type": "array", "items": {"type": "object", "pro... |
a1ca7aa2-2a91-4573-8ceb-51f3a9bdd0d0/ff38a267-3cd3-40db-8704-16995b73442b/0/0 | OCR Text Detection | Extract text, boundingBoxes, score, locale and dimensions from image using (google vision text detection) | 4.9 | GET Text Detection | the important thing is that you should use image as a query name
Example (url?image=“image_url”) | 200 | New Example | {"success": true, "text": "SMASHING DOCS\nYOUR COMPANY\nSTREET ADDRESS\nCITY, ZIP CODE\nPHONE\nDESCRIPTION\nWEB DESIGN & DEVELOPMENT\nLOGO DESIGN\nSTATIONERY DESIGN\nCONTENT WRITING\nINVOICE NO. #000188\nDATE: NOVEMBER 18TH, 2017\nTO\nCLIENT COMPANY\nSTREET ADDRESS\nCITY, ZIP CODE\nPHONE\nSUB TOTAL\nDISCOUNT\nTOTAL\nAC... | {"type": "object", "properties": {"success": {"type": "boolean"}, "text": {"type": "string"}, "locale": {"type": "string"}, "dimensions": {"type": "object", "properties": {"height": {"type": "integer"}, "width": {"type": "integer"}, "type": {"type": "string"}}}, "ocr": {"type": "array", "items": {"type": "object", "pro... |
01528f5a-faa9-4903-8063-e5894a6a236d/efebd986-5097-4cf0-9a72-9bb573bb6bbb/0/0 | midjourney api | mj easily-integrated Midjourney API solutions for your applications! | 8.6 | imageChange | Slight changes based on an image generated | 200 | New Example | {"task_id": "f4709439-3948-44fe-9da9-bcc23de1bfe6", "success": true, "message": ""} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"task_id": {"type": "string"}, "success": {"type": "boolean"}, "message": {"type": "string"}}, "required": ["message", "success", "task_id"]} |
01528f5a-faa9-4903-8063-e5894a6a236d/fae3a55b-71bd-45a4-8fdc-1293599d2c35/0/0 | midjourney api | mj easily-integrated Midjourney API solutions for your applications! | 8.6 | createImages | Generates up to 4 images from a text prompt. | 200 | New Example | {"task_id": "f4709439-3948-44fe-9da9-bcc23de1bfe6", "success": true, "message": ""} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"task_id": {"type": "string"}, "success": {"type": "boolean"}, "message": {"type": "string"}}, "required": ["message", "success", "task_id"]} |
01528f5a-faa9-4903-8063-e5894a6a236d/7b8a5b25-cfed-4d10-a8bd-53c7a303e634/0/0 | midjourney api | mj easily-integrated Midjourney API solutions for your applications! | 8.6 | fileChange | Changes based on uploaded images | 200 | New Example | {"key1": "value", "key2": "value"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"key1": {"type": "string"}, "key2": {"type": "string"}}, "required": ["key1", "key2"]} |
01528f5a-faa9-4903-8063-e5894a6a236d/4a2826c4-0865-4bae-ab0b-7d9f06845f02/0/0 | midjourney api | mj easily-integrated Midjourney API solutions for your applications! | 8.6 | fileChangeFast | Changes based on uploaded images | 200 | New Example | {"task_id": "f4709439-3948-44fe-9da9-bcc23de1bfe6", "success": true, "message": ""} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"task_id": {"type": "string"}, "success": {"type": "boolean"}, "message": {"type": "string"}}, "required": ["message", "success", "task_id"]} |
01528f5a-faa9-4903-8063-e5894a6a236d/48daa0e2-75ee-4973-bc30-7d8a3b78f645/0/0 | midjourney api | mj easily-integrated Midjourney API solutions for your applications! | 8.6 | scalingFast | Scale the image canvas to its original size | 200 | New Example | {"task_id": "f4709439-3948-44fe-9da9-bcc23de1bfe6", "success": true, "message": ""} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"task_id": {"type": "string"}, "success": {"type": "boolean"}, "message": {"type": "string"}}, "required": ["message", "success", "task_id"]} |
01528f5a-faa9-4903-8063-e5894a6a236d/691c815c-eaa4-416f-9804-42541395a6f9/0/0 | midjourney api | mj easily-integrated Midjourney API solutions for your applications! | 8.6 | imageChangeFast | Slight changes based on one of the pictures | 200 | New Example | {"task_id": "f4709439-3948-44fe-9da9-bcc23de1bfe6", "success": true, "message": ""} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"task_id": {"type": "string"}, "success": {"type": "boolean"}, "message": {"type": "string"}}, "required": ["message", "success", "task_id"]} |
01528f5a-faa9-4903-8063-e5894a6a236d/6200a78c-6563-4d12-a30d-2486e03a083e/0/0 | midjourney api | mj easily-integrated Midjourney API solutions for your applications! | 8.6 | createImagesFast | Based on the description to generate 4 pictures | 200 | New Example | {"task_id": "675859ff-be8d-4dac-a147-62aeced32f5f", "status": "success", "message": ""} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"task_id": {"type": "string"}, "status": {"type": "string"}, "message": {"type": "string"}}, "required": ["message", "status", "task_id"]} |
01528f5a-faa9-4903-8063-e5894a6a236d/1ae10aca-59db-40ea-95a7-3a5680f5e1c0/0/0 | midjourney api | mj easily-integrated Midjourney API solutions for your applications! | 8.6 | upscaleFast | Upscale one of the four generated images to a higher resolution | 200 | New Example | {"task_id": "f4709439-3948-44fe-9da9-bcc23de1bfe6", "success": true, "message": ""} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"task_id": {"type": "string"}, "success": {"type": "boolean"}, "message": {"type": "string"}}, "required": ["message", "success", "task_id"]} |
01528f5a-faa9-4903-8063-e5894a6a236d/84fe06da-388d-4015-a775-d5df55ffb2f0/0/0 | midjourney api | mj easily-integrated Midjourney API solutions for your applications! | 8.6 | fetchResultFast | According to the task id for structure | 200 | New Example | {"task_id": "85b50975-86a7-46ca-b6c9-b85c33d59753", "status": "finished", "process_time": 36.548707972, "meta": {"account_id": "3603a1c2-11a8-4227-b5bc-8b9fb35fe58a", "task_type": "imagine", "origin_task_id": "", "bot_hash": "12fe2a39feaeae4829319a015bf6e12433d86f07df8078c1f84fcdb0dbccf6f3", "created_at": 1694166483, "... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"task_id": {"type": "string"}, "status": {"type": "string"}, "process_time": {"type": "number"}, "meta": {"type": "object", "properties": {"account_id": {"type": "string"}, "task_type": {"type": "string"}, "origin_task_id": {"type": "string"... |
11ead771-5871-4f45-9725-c3cad418cdb5/7c5808b5-13ed-4ab9-9080-40d7acb2b155/0/0 | Web Detection | Extract list of entities, full matches urls, partial matches urls, visual matches urls, pages, locale and dimensions from image using (google vision web detection) | 8.6 | GET Web Detection | the important thing is that you should use image as a query name
Example (url?image=“image_url”) | 200 | New Example | {"entities": [{"score": 1.0880999565124512, "text": "Barbie"}, {"score": 0.8342400193214417, "text": "Barbie Extra"}, {"score": 0.7197999954223633, "text": "Doll"}, {"score": 0.6668199896812439, "text": "Mattel Barbie Fashionistas"}, {"score": 0.6431999802589417, "text": "Amazon.com"}, {"score": 0.6007000207901001, "te... | {"type": "object", "properties": {"entities": {"type": "array", "items": {"type": "object", "properties": {"score": {"type": "number"}, "text": {"type": "string"}}}}, "fullMatches": {"type": "array", "items": {"type": "object", "properties": {"url": {"type": "string"}, "score": {"type": "integer"}}}}, "partialMatches":... |
11ead771-5871-4f45-9725-c3cad418cdb5/d1b483b7-6a09-4227-9233-92bbcce4628d/0/0 | Web Detection | Extract list of entities, full matches urls, partial matches urls, visual matches urls, pages, locale and dimensions from image using (google vision web detection) | 8.6 | POST Web Detection | the important thing is that you should use image as a form_data key
Example const data = new FormData(); data.append(‘image’, ‘image_path’); | 200 | New Example | {"entities": [{"score": 1.0880999565124512, "text": "Barbie"}, {"score": 0.8342400193214417, "text": "Barbie Extra"}, {"score": 0.7197999954223633, "text": "Doll"}, {"score": 0.6668199896812439, "text": "Mattel Barbie Fashionistas"}, {"score": 0.6431999802589417, "text": "Amazon.com"}, {"score": 0.6007000207901001, "te... | {"type": "object", "properties": {"entities": {"type": "array", "items": {"type": "object", "properties": {"score": {"type": "number"}, "text": {"type": "string"}}}}, "fullMatches": {"type": "array", "items": {"type": "object", "properties": {"url": {"type": "string"}, "score": {"type": "integer"}}}}, "partialMatches":... |
a79a62c4-561a-407b-9510-a8e99a9d36bb/cb2caf74-cdef-4ac9-9590-ca7b7828d616/0/0 | Pose Recognition | A single pose or multiple poses can be estimated from an image. | 0.1 | Get Single Pose Recognition | Single pose estimation is the simpler and faster of algorithms when there is only one person in the image. The disadvantage is that if there are multiple persons in an image, keypoints from both persons will likely be estimated as being part of the same single pose. | 200 | Response | {"file": "pose.jpg", "keypoints": [{"part": "nose", "position": {"x": 486.51752160217046, "y": 93.77300257256059}, "score": 0.9976345896720886}, {"part": "leftEye", "position": {"x": 497.4696902263953, "y": 85.49076211684408}, "score": 0.9912968873977661}, {"part": "rightEye", "position": {"x": 468.5024406937773, "y": ... | {"properties": {"keypoints": {"items": {"properties": {"part": {"type": "string"}, "position": {"properties": {"x": {"type": "number"}, "y": {"type": "number"}}, "type": "object"}, "score": {"type": "number"}}, "type": "object"}, "type": "array"}, "score": {"type": "number"}}, "type": "object"} |
a79a62c4-561a-407b-9510-a8e99a9d36bb/45c92e90-0c3e-4a98-b8ea-5f1545a11640/1/0 | Pose Recognition | A single pose or multiple poses can be estimated from an image. | 0.1 | Get Multiple Pose Recognition | Multiple Pose estimation can decode multiple poses in an image. It is more complex and slightly slower than the single person algorithm, but has the advantage that if multiple people appear in an image, their detected keypoints are less likely to be associated with the wrong pose. Even if the usecase is to detect a sin... | 200 | Response | {"file": "multi pose.jpg", "poses": [{"keypoints": [{"part": "nose", "position": {"x": 274.1086200981289, "y": 13.6417678441519}, "score": 0.5411428213119507}, {"part": "leftEye", "position": {"x": 275.86248922904645, "y": 10.585654810244932}, "score": 0.4908600449562073}, {"part": "rightEye", "position": {"x": 273.376... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"file": {"type": "string"}, "poses": {"type": "array", "items": {"type": "object", "properties": {"keypoints": {"type": "array", "items": {"type": "object", "properties": {"part": {"type": "string"}, "position": {"type": "object", "propertie... |
9d130140-a3d8-442b-9ff2-c3791b6b78ea/88d9e18d-71bc-4f4c-a237-d6c7eba51fbc/0/0 | ReciclAPI - Garbage Detection | Use this API to identify types of garbage. The images can be classified among 10 different types: | 7.9 | Classify Garbage Image | Use this endpoint to identify a submitted image.
The returned result will be a set of the three most probable classes.
Images can be submitted under a URL or a base64 encoding format. | 200 | Response | [{"class": "plastic", "confidence": 100}, {"class": "glass", "confidence": 8.849078632535164e-20}, {"class": "metal", "confidence": 7.507595041004632e-20}, {"class": "paper", "confidence": 5.594982086328094e-21}, {"class": "biological", "confidence": 2.788582085055467e-25}, {"class": "clothes", "confidence": 1.92683200... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"class": {"type": "string"}, "confidence": {"type": "number"}}, "required": ["class", "confidence"]}} |
b0517575-3465-46d2-beae-597a0acd7f0f/56abb96b-edfc-46d2-944e-854db72d06d0/0/0 | NSFW images detection and classification | Adult content detection technology identifies explicit content in images that are not safe for work or other public places. Our AI model detects exposed parts of a body and classifies if they are considered NSFW content. | 9.8 | NSFW content classification from image (url) |
For more details contact us | 200 | Response | {"unsafe": false, "objects": [{"box": [156, 239, 473, 589], "score": 0.8797686696052551, "label": "FACE_F"}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"unsafe": {"type": "boolean"}, "objects": {"type": "array", "items": {"type": "object", "properties": {"box": {"type": "array", "items": {"type": "integer"}}, "score": {"type": "number"}, "label": {"type": "string"}}, "required": ["box", "la... |
b0517575-3465-46d2-beae-597a0acd7f0f/f842fc3e-5168-407b-adbe-f190db2e72b4/0/0 | NSFW images detection and classification | Adult content detection technology identifies explicit content in images that are not safe for work or other public places. Our AI model detects exposed parts of a body and classifies if they are considered NSFW content. | 9.8 | NSFW content classification from attached image file |
For more details contact us | 200 | New Example | {"unsafe": false, "objects": [{"box": [300, 220, 427, 348], "score": 0.9650670289993286, "label": "FACE_F"}, {"box": [264, 599, 405, 778], "score": 0.741856575012207, "label": "EXPOSED_BELLY"}, {"box": [291, 827, 354, 889], "score": 0.6728091835975647, "label": "COVERED_GENITALIA_F"}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"unsafe": {"type": "boolean"}, "objects": {"type": "array", "items": {"type": "object", "properties": {"box": {"type": "array", "items": {"type": "integer"}}, "score": {"type": "number"}, "label": {"type": "string"}}, "required": ["box", "la... |
4ff73d61-1022-421d-bb22-f5cdc76bb2dd/3cc8c44b-919d-4a03-9eb4-97ff14015eb6/0/0 | Liquor Recognition | Recognize labels on liquor bottles quickly, with over 25,000 different labels to choose from. The results include information on the liquor brand and the kind of spirit. | null | Analyze Image | Performs image analysis | 400 | New Example | {"status": 400, "error": "Missing image or url field"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "integer"}, "error": {"type": "string"}}, "required": ["error", "status"]} |
4ff73d61-1022-421d-bb22-f5cdc76bb2dd/3cc8c44b-919d-4a03-9eb4-97ff14015eb6/1/0 | Liquor Recognition | Recognize labels on liquor bottles quickly, with over 25,000 different labels to choose from. The results include information on the liquor brand and the kind of spirit. | null | Analyze Image | Performs image analysis | 200 | New Example | {"results": [{"bounds": [{"x": 0.35559746623039246, "y": 0.023603560402989388}, {"x": 0.7541176676750183, "y": 0.023603560402989388}, {"x": 0.7541176676750183, "y": 0.8358347415924072}, {"x": 0.35559746623039246, "y": 0.8358347415924072}], "entities": [{"id": "97cca5c9-621e-4554-bbc2-84adc613c10f", "name": "Chivas Rega... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"results": {"type": "array", "items": {"type": "object", "properties": {"bounds": {"type": "array", "items": {"type": "object", "properties": {"x": {"type": "number"}, "y": {"type": "number"}}, "required": ["x", "y"]}}, "entities": {"type": ... |
723ad98a-b260-4a24-824e-127be6f49d45/fd31ce36-e6f8-4c1d-9228-c4bb75feb4c1/0/0 | Face Recognition AI | AI Face. Intelligent image analysis, face recognition, face detection and face perception. Restore real face information, facial feature, age, expression, sex etc. Cooperation with Center for Visual Studies of China. | null | AI Face | Face recognition (many person image), face detection and face perception. Restore real face information, facial feature, age, expression, sex etc. | 200 | Response | {"FACE_LIST_ENTITY": [{"AGE": 27, "BEAUTY": 71.37, "EMOTION_SCORE": 0.99, "EMOTION_TYPE": "NEUTRAL", "FACE_TYPE": "\u9a6c\u8138", "GENDER": "MALE", "HEIGHT": 70, "ID": 0, "LEFT": 346.33, "TOP": 78.99, "WIDTH": 78}, {"AGE": 28, "BEAUTY": 66.04, "EMOTION_SCORE": 0.93, "EMOTION_TYPE": "NEUTRAL", "FACE_TYPE": "\u9a6c\u8138... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"FACE_LIST_ENTITY": {"type": "array", "items": {"type": "object", "properties": {"AGE": {"type": "integer"}, "BEAUTY": {"type": "number"}, "EMOTION_SCORE": {"type": "number"}, "EMOTION_TYPE": {"type": "string"}, "FACE_TYPE": {"type": "string... |
1bb1c67c-1cf9-425e-9c2e-278fd6dda6c5/a92520df-31fc-430d-b50a-cfe031ac970b/1/0 | Background Removal | This API provides image foreground segmentation with consequent background removal. [.
Usually such images have extensions: .jpg, .jpeg, .png.
The service checks input file by MIME type and accepts the following types:
image/jpeg
image/png
The size of image file must be le... | 200 | Unsupported media type | {"results": [{"status": {"code": "failure", "message": "Unsupported media type. Expected one of ['image/jpeg', 'image/png']. Got 'text/plain'."}, "name": "file.txt", "md5": "d41d8cd98f00b204e9800998ecf8427e", "entities": []}]} | {"type": "object", "properties": {"results": {"type": "array", "items": {"type": "object", "properties": {"status": {"type": "object", "properties": {"code": {"type": "string"}, "message": {"type": "string"}}}, "name": {"type": "string"}, "md5": {"type": "string"}, "entities": {"type": "array", "items": {"type": "objec... |
1bb1c67c-1cf9-425e-9c2e-278fd6dda6c5/a92520df-31fc-430d-b50a-cfe031ac970b/1/1 | Background Removal | This API provides image foreground segmentation with consequent background removal. [.
Usually such images have extensions: .jpg, .jpeg, .png.
The service checks input file by MIME type and accepts the following types:
image/jpeg
image/png
The size of image file must be le... | 200 | Successful background removal | {"results": [{"status": {"code": "ok", "message": "Success"}, "name": "img.jpg", "md5": "f2d13d0242b98aae82bc7a6dc76e1ea9", "width": 1024, "height": 768, "entities": [{"kind": "image", "name": "general-fg-image", "image": "iVBORw0KGgoAAAA...YII="}]}]} | {"type": "object", "properties": {"results": {"type": "array", "items": {"type": "object", "properties": {"status": {"type": "object", "properties": {"code": {"type": "string"}, "message": {"type": "string"}}}, "name": {"type": "string"}, "md5": {"type": "string"}, "entities": {"type": "array", "items": {"type": "objec... |
1bb1c67c-1cf9-425e-9c2e-278fd6dda6c5/a92520df-31fc-430d-b50a-cfe031ac970b/2/0 | Background Removal | This API provides image foreground segmentation with consequent background removal. [.
Usually such images have extensions: .jpg, .jpeg, .png.
The service checks input file by MIME type and accepts the following types:
image/jpeg
image/png
The size of image file must be le... | 422 | Missing image/url | {"detail": "Missing image or url field."} | {"type": "object", "properties": {"detail": {"type": "string"}}} |
1bb1c67c-1cf9-425e-9c2e-278fd6dda6c5/e805f9a8-780a-4d23-82c1-74eb56c74fec/0/0 | Background Removal | This API provides image foreground segmentation with consequent background removal. [![Telegram](https://img.shields.io/badge/-Tel... | 9.7 | Get list of available modes | The service provides three options for background removal results:
* Mask of foreground.
* Image with foreground object.
* Image with foreground object with shadow. | 200 | List of modes | ["fg-image", "fg-image-shadow", "fg-mask"] | {"type": "array", "items": {"type": "string"}} |
d2b1ccc5-9ef3-44fc-93f6-c7b6c375f829/b6af6bcc-a55b-4175-b4a9-c3c2c19becab/0/0 | Face Filters | Based on AI algorithm to simulate realistic makeup effect, it further enhances the face beautification effect by adding lipstick, highlighter, whole makeup and other makeup materials. Users can choose different beauty types and match with personalized beauty materials to complete the makeup look. | null | Face Filters | Face Filters | 200 | Success | {"request_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "log_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "error_code": 0, "data": {"image_url": "Temporary address"}} | {"request_id": {"type": "string", "required": false, "description": "Request ID."}, "log_id": {"type": "string", "required": false, "description": "Log ID."}, "error_code": {"type": "integer", "required": false, "description": "Error Code."}, "error_code_str": {"type": "string", "required": false, "description": "Error... |
d2b1ccc5-9ef3-44fc-93f6-c7b6c375f829/b6af6bcc-a55b-4175-b4a9-c3c2c19becab/0/1 | Face Filters | Based on AI algorithm to simulate realistic makeup effect, it further enhances the face beautification effect by adding lipstick, highlighter, whole makeup and other makeup materials. Users can choose different beauty types and match with personalized beauty materials to complete the makeup look. | null | Face Filters | Face Filters | 200 | Error | {"request_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "log_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "error_code": 400, "error_code_str": "ERROR_PARAMETERS", "error_msg": "image cannot be empty"} | {"request_id": {"type": "string", "required": false, "description": "Request ID."}, "log_id": {"type": "string", "required": false, "description": "Log ID."}, "error_code": {"type": "integer", "required": false, "description": "Error Code."}, "error_code_str": {"type": "string", "required": false, "description": "Error... |
d2b1ccc5-9ef3-44fc-93f6-c7b6c375f829/b6af6bcc-a55b-4175-b4a9-c3c2c19becab/1/0 | Face Filters | Based on AI algorithm to simulate realistic makeup effect, it further enhances the face beautification effect by adding lipstick, highlighter, whole makeup and other makeup materials. Users can choose different beauty types and match with personalized beauty materials to complete the makeup look. | null | Face Filters | Face Filters | 401 | Example | {"message": "Invalid API key in request"} | {"message": {"type": "String", "required": true, "example": "Invalid API key in request", "description": "Error Message."}} |
e1940b5f-4a6e-4483-a4a6-fd1bca9f690e/309542c5-c03f-461b-84fd-25d7ca868481/0/0 | Bring photos to life | Based on face driving algorithm, it can turn the face in the image into dynamic effect. It can drive the five senses in the image to do any action, make the face vivid, turn static into dynamic, and make the user's photo full of dynamic feeling. The difference with expression editing is that this ability supports any f... | 6.2 | Bring photos to life | Bring photos to life | 401 | Example | {"message": "Invalid API key in request"} | {"message": {"type": "String", "required": true, "example": "Invalid API key in request", "description": "Error Message."}} |
e1940b5f-4a6e-4483-a4a6-fd1bca9f690e/309542c5-c03f-461b-84fd-25d7ca868481/1/0 | Bring photos to life | Based on face driving algorithm, it can turn the face in the image into dynamic effect. It can drive the five senses in the image to do any action, make the face vivid, turn static into dynamic, and make the user's photo full of dynamic feeling. The difference with expression editing is that this ability supports any f... | 6.2 | Bring photos to life | Bring photos to life | 200 | Success | {"request_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "log_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "error_code": 0, "data": {"video": ""}} | {"request_id": {"type": "string", "required": false, "description": "Request ID."}, "log_id": {"type": "string", "required": false, "description": "Log ID."}, "error_code": {"type": "integer", "required": false, "description": "Error Code."}, "error_code_str": {"type": "string", "required": false, "description": "Error... |
e1940b5f-4a6e-4483-a4a6-fd1bca9f690e/309542c5-c03f-461b-84fd-25d7ca868481/1/1 | Bring photos to life | Based on face driving algorithm, it can turn the face in the image into dynamic effect. It can drive the five senses in the image to do any action, make the face vivid, turn static into dynamic, and make the user's photo full of dynamic feeling. The difference with expression editing is that this ability supports any f... | 6.2 | Bring photos to life | Bring photos to life | 200 | Error | {"request_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "log_id": "3A9BFC5E-3F7C-4D9A-9445-908C6D14AB5B", "error_code": 400, "error_code_str": "ERROR_PARAMETERS", "error_msg": "image cannot be empty"} | {"request_id": {"type": "string", "required": false, "description": "Request ID."}, "log_id": {"type": "string", "required": false, "description": "Log ID."}, "error_code": {"type": "integer", "required": false, "description": "Error Code."}, "error_code_str": {"type": "string", "required": false, "description": "Error... |
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