OCR, documents and scene text
Collection
Receipts, bills, labels, menus, signs, packaging, forms, native PDFs, handwriting and non-Latin scripts, photographed or contributed by their owners. • 29 items • Updated
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Dataset Card for Completed Paper Forms
Full-page photos of paper forms filled in by hand (delivery slips, warranty cards, order pads), printed labels intact.
Collected through the Kled app by consenting contributors and licensed for commercial training. The files are delivered by Kled under license, not downloaded from this repository. Use Request a sample set at the top of this page, or write to team@kled.ai. Catalog entry: kled.ai/datasets/filled-in-paper-forms.
Dataset Details
Dataset Description
Find a form completed by hand (delivery slip, warranty card, order pad), lay it flat and photograph the whole page, printed structure and handwriting both visible. Blank forms, crops that lose the printed labels and forms with others' personal details are rejected; up to 50 per contributor, from a global base strongest in Southeast Asia, the United States and Europe. Form types, languages and hands are uncontrolled. No field annotations, though printed labels make key-value pairing easy to annotate. Mixed print and handwriting on one page is a hard OCR case with no current public corpus: FUNSD is 199 non-commercial forms, NIST SD19 decades-old handprinted forms from 3,600 US writers.
- Curated by: Kled (useKled)
- Collected through: Phone camera (in app)
- Language(s): English, Indonesian, Malay, Filipino, Spanish, French, Hindi
- Regions: Global, 100+ countries
- Volume: Available on request
- Contributors: Available on request
- Modality: Images
- Format: JPG / PNG / HEIC
- Resolution: Native phone camera resolution (JPG, PNG, HEIC)
- Annotations: Raw (no labels)
- Quality control: QA review on every submission
- License: Non-exclusive commercial training license (terms); exclusivity available on request
- Consent: Each contributor opted in to this use when they uploaded.
Dataset Sources
- Catalog page: kled.ai/datasets/filled-in-paper-forms
- Sample set: through the access request at the top of this page, or team@kled.ai
- Publisher: huggingface.co/useKled
Uses
Direct Use
- Form key-value extraction with handwriting
- Mixed print and script OCR
- Document pipeline evaluation
Out-of-Scope Use
Redistribution or resale of the files, use outside the terms of the commercial training license, and any attempt to identify or contact contributors or people who appear in the data. Uses that require labels this set does not carry should be scoped with the data team first.
Dataset Structure
Data Instances
One item per record, delivered as JPG / PNG / HEIC. Volume: Available on request.
Data Fields
- File: the JPG / PNG / HEIC file as captured or uploaded by the contributor
- Labels: none; the set is delivered raw. Labeling on the same items is available on request.
- Capture metadata: capture tool, country of capture, submission time
- Review status: QA outcome (QA review on every submission)
Field names and the manifest format are confirmed with the sample set.
Data Splits
Delivered as one set. Subsets by country, language or label, and custom splits, are available on request.
Dataset Creation
Curation Rationale
The dataset exists because the public alternatives named in the description are non-commercial, synthetic, small or collected elsewhere. Kled runs the task as a paid brief in its app so that the data is captured on purpose, under the capture rules above, by people who have opted in to commercial use.
Source Data
Data Collection and Processing
Contributors complete the task in the Kled app. Capture tool: Phone camera (in app). Each submission is reviewed against the task brief; submissions that break the capture rules are rejected. QA review on every submission. Files are delivered as JPG / PNG / HEIC, in the resolution noted above.
Who are the source data producers?
Kled contributors, who complete paid data tasks on their own phones. This task was open to contributors worldwide. Kled has 625,000+ contributors in 100+ countries, strongest in Southeast Asia, the United States and Europe.
Annotations
Annotation process
No annotations are included. Items are delivered as captured; labeling on the same items can be scoped with the data team.
Who are the annotators?
Not applicable; no annotations are included.
Personal and Sensitive Information
Every item was contributed by its owner, who opted in to this use at upload. The task brief states what may and may not appear in a submission, and reviewers reject submissions that break those rules. Kled's data handling practices are documented at trust.kled.ai; questions about handling requirements for your use go to team@kled.ai.
Bias, Risks, and Limitations
Coverage follows the contributor base: strongest in Southeast Asia, the United States and Europe, thinner elsewhere, and not limited by region for this task. Devices, settings and conditions vary by contributor, which is the point of the collection and also means no two items are captured under identical conditions. Where labels are contributor-entered, they are checked at review but are not expert annotations. Volumes are the current scope of the task and grow as collection continues.
Recommendations
Request a sample set and run it against your task before licensing. Ask for per-country or per-language counts where they matter to your use.
Licensing Information
Non-exclusive commercial training license; exclusivity on request. Each contributor opted in to this use when they uploaded. The license terms are on the catalog page.
Citation
@misc{kled_filled_in_paper_forms_2026,
title = {Completed Paper Forms},
author = {Kled},
year = {2026},
url = {https://www.kled.ai/datasets/filled-in-paper-forms},
note = {Commercially licensed dataset collected through the Kled app. Sample sets on request.}
}
Dataset Card Contact
Kled data team: team@kled.ai
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