Image-Text-to-Text
Transformers
GGUF
german
deutsch
ocr
vision
document-ai
invoice
rechnung
structured-extraction
json-extraction
kie
ollama
vllm
llama-cpp
apache-2.0
conversational
Instructions to use keyvan-ai/german-ocr-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keyvan-ai/german-ocr-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="keyvan-ai/german-ocr-3") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("keyvan-ai/german-ocr-3", dtype="auto") - llama-cpp-python
How to use keyvan-ai/german-ocr-3 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="keyvan-ai/german-ocr-3", filename="german-ocr-3-Q4_K_M.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use keyvan-ai/german-ocr-3 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf keyvan-ai/german-ocr-3:Q4_K_M # Run inference directly in the terminal: llama cli -hf keyvan-ai/german-ocr-3:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf keyvan-ai/german-ocr-3:Q4_K_M # Run inference directly in the terminal: llama cli -hf keyvan-ai/german-ocr-3:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf keyvan-ai/german-ocr-3:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf keyvan-ai/german-ocr-3:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf keyvan-ai/german-ocr-3:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf keyvan-ai/german-ocr-3:Q4_K_M
Use Docker
docker model run hf.co/keyvan-ai/german-ocr-3:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use keyvan-ai/german-ocr-3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "keyvan-ai/german-ocr-3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "keyvan-ai/german-ocr-3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/keyvan-ai/german-ocr-3:Q4_K_M
- SGLang
How to use keyvan-ai/german-ocr-3 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "keyvan-ai/german-ocr-3" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "keyvan-ai/german-ocr-3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "keyvan-ai/german-ocr-3" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "keyvan-ai/german-ocr-3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Ollama
How to use keyvan-ai/german-ocr-3 with Ollama:
ollama run hf.co/keyvan-ai/german-ocr-3:Q4_K_M
- Unsloth Studio
How to use keyvan-ai/german-ocr-3 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for keyvan-ai/german-ocr-3 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for keyvan-ai/german-ocr-3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for keyvan-ai/german-ocr-3 to start chatting
- Pi
How to use keyvan-ai/german-ocr-3 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf keyvan-ai/german-ocr-3:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "keyvan-ai/german-ocr-3:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use keyvan-ai/german-ocr-3 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf keyvan-ai/german-ocr-3:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default keyvan-ai/german-ocr-3:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use keyvan-ai/german-ocr-3 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf keyvan-ai/german-ocr-3:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "keyvan-ai/german-ocr-3:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use keyvan-ai/german-ocr-3 with Docker Model Runner:
docker model run hf.co/keyvan-ai/german-ocr-3:Q4_K_M
- Lemonade
How to use keyvan-ai/german-ocr-3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull keyvan-ai/german-ocr-3:Q4_K_M
Run and chat with the model
lemonade run user.german-ocr-3-Q4_K_M
List all available models
lemonade list
Kopie von Keyven/german-ocr-3
Browse files- .gitattributes +2 -0
- LICENSE +201 -0
- NOTICE +14 -0
- README.md +284 -0
- charts/01_size_vs_competitors.png +0 -0
- charts/02_ionos_validity.png +0 -0
- charts/04_latency.png +0 -0
- german-ocr-3-Q4_K_M.gguf +3 -0
- german-ocr-3-nano-Q4_K_M.gguf +3 -0
- logo.png +0 -0
- schemas/form.json +66 -0
- schemas/generic_document.json +107 -0
- schemas/invoice.json +101 -0
- schemas/letter.json +73 -0
.gitattributes
CHANGED
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NOTICE
ADDED
|
@@ -0,0 +1,14 @@
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German-OCR-3
|
| 2 |
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Copyright 2026 Keyvan Hardani
|
| 3 |
+
|
| 4 |
+
Licensed under the Apache License, Version 2.0 (see LICENSE).
|
| 5 |
+
|
| 6 |
+
Model architecture: Qwen3.5 Small Series
|
| 7 |
+
Copyright (c) 2025-2026 Qwen Team, Alibaba Group · Apache License 2.0
|
| 8 |
+
https://huggingface.co/Qwen · https://qwen.ai
|
| 9 |
+
|
| 10 |
+
Third-party tools used in the build / serve pipeline:
|
| 11 |
+
- Ollama (MIT) — https://github.com/ollama/ollama
|
| 12 |
+
- llama.cpp (MIT) — https://github.com/ggml-org/llama.cpp
|
| 13 |
+
- vLLM (Apache 2.0) — https://github.com/vllm-project/vllm
|
| 14 |
+
- Hugging Face Transformers (Apache 2.0) — https://github.com/huggingface/transformers
|
README.md
ADDED
|
@@ -0,0 +1,284 @@
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|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- de
|
| 4 |
+
- en
|
| 5 |
+
- fr
|
| 6 |
+
- es
|
| 7 |
+
- ar
|
| 8 |
+
- fa
|
| 9 |
+
- it
|
| 10 |
+
- sv
|
| 11 |
+
- ru
|
| 12 |
+
- zh
|
| 13 |
+
license: apache-2.0
|
| 14 |
+
library_name: transformers
|
| 15 |
+
pipeline_tag: image-text-to-text
|
| 16 |
+
tags:
|
| 17 |
+
- german
|
| 18 |
+
- deutsch
|
| 19 |
+
- ocr
|
| 20 |
+
- vision
|
| 21 |
+
- document-ai
|
| 22 |
+
- invoice
|
| 23 |
+
- rechnung
|
| 24 |
+
- structured-extraction
|
| 25 |
+
- json-extraction
|
| 26 |
+
- kie
|
| 27 |
+
- ollama
|
| 28 |
+
- vllm
|
| 29 |
+
- llama-cpp
|
| 30 |
+
- apache-2.0
|
| 31 |
+
inference: true
|
| 32 |
+
datasets:
|
| 33 |
+
- neuralabs/german-synth-ocr
|
| 34 |
+
- Aoschu/German_invoices_dataset_for_donut
|
| 35 |
+
base_model:
|
| 36 |
+
- Qwen/Qwen3.5-2B
|
| 37 |
+
new_version: Keyven/german-ocr-3
|
| 38 |
+
---
|
| 39 |
+
|
| 40 |
+
<p align="center">
|
| 41 |
+
<img src="https://app.german-ocr.de/icon.png" alt="German-OCR-3" width="140" height="140" />
|
| 42 |
+
</p>
|
| 43 |
+
|
| 44 |
+
<h1 align="center">German-OCR-3</h1>
|
| 45 |
+
|
| 46 |
+
<p align="center"><strong>Deutsche Vision-OCR. Kompakt. Lokal. Open Source.</strong><br/>
|
| 47 |
+
<sub>Aus deutschem Dokument-Bild → strikt validiertes JSON. In unter 60 Sekunden lokal lauffähig.</sub></p>
|
| 48 |
+
|
| 49 |
+
<p align="center">
|
| 50 |
+
<a href="https://german-ocr.de"><img alt="Site" src="https://img.shields.io/badge/site-german--ocr.de-3B82F6?style=flat-square&labelColor=0B1220"/></a>
|
| 51 |
+
<a href="https://ollama.com/Keyvan/german-ocr-3"><img alt="Ollama" src="https://img.shields.io/badge/Ollama-Keyvan%2Fgerman--ocr--3-F59E0B?style=flat-square&labelColor=0B1220"/></a>
|
| 52 |
+
<a href="https://github.com/Keyvanhardani/German-OCR-3-Dev"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-source-181717?style=flat-square&labelColor=0B1220"/></a>
|
| 53 |
+
<a href="#license"><img alt="License: Apache 2.0" src="https://img.shields.io/badge/License-Apache_2.0-22C55E?style=flat-square&labelColor=0B1220"/></a>
|
| 54 |
+
<img alt="Language" src="https://img.shields.io/badge/lang-Deutsch-3B82F6?style=flat-square&labelColor=0B1220"/>
|
| 55 |
+
<img alt="Hallucination" src="https://img.shields.io/badge/Halluzination-0%25-22C55E?style=flat-square&labelColor=0B1220"/>
|
| 56 |
+
</p>
|
| 57 |
+
|
| 58 |
+
---
|
| 59 |
+
|
| 60 |
+
## ⚡ At a glance
|
| 61 |
+
|
| 62 |
+
<table align="center">
|
| 63 |
+
<tr>
|
| 64 |
+
<td align="center" width="180"><h2>100 %</h2><sub>Gültiges JSON</sub></td>
|
| 65 |
+
<td align="center" width="180"><h2>95 %</h2><sub>Sender korrekt</sub></td>
|
| 66 |
+
<td align="center" width="180"><h2>0 %</h2><sub>Halluzination</sub></td>
|
| 67 |
+
<td align="center" width="180"><h2>5.0 s</h2><sub>Latenz / Doc</sub></td>
|
| 68 |
+
</tr>
|
| 69 |
+
</table>
|
| 70 |
+
|
| 71 |
+
<p align="center"><sub>Auf <strong>200+ echten anonymisierten deutschen Rechnungen</strong> (Default-Edition, 2.7 GB)</sub></p>
|
| 72 |
+
|
| 73 |
+
---
|
| 74 |
+
|
| 75 |
+
## Was ist German-OCR-3?
|
| 76 |
+
|
| 77 |
+
**German-OCR-3** ist eine kompakte, schnelle und voll lokal lauffähige **Vision-OCR-Distribution für deutsche Geschäftsdokumente** — Rechnungen, Briefe, Formulare, Quittungen, Bescheide. Aus dem Bild kommt **strikt validiertes JSON** nach unserem deutschen Extraktions-Schema. Ohne Cloud-Pflicht, ohne Vendor-Lock-in.
|
| 78 |
+
|
| 79 |
+
Zwei Editionen, beide Apache 2.0, beide unter 3 GB:
|
| 80 |
+
|
| 81 |
+
| Edition | Ollama | Größe | Zielhardware | Stärke |
|
| 82 |
+
|---|---|---:|---|---|
|
| 83 |
+
| **Nano** | `Keyvan/german-ocr-nano` | **1.0 GB** | CPU · Edge · Mobile | „läuft überall" |
|
| 84 |
+
| **Default** ⭐ | `Keyvan/german-ocr-3` | **2.7 GB** | 4–6 GB VRAM | beste Field-Erkennung |
|
| 85 |
+
|
| 86 |
+
> **Fine-tuned adapter** für deutsche Geschäftsdokument-Extraktion. Apache 2.0.
|
| 87 |
+
|
| 88 |
+
---
|
| 89 |
+
|
| 90 |
+
## 📊 Praxistest — 200+ echte deutsche Rechnungen (anonymisiert)
|
| 91 |
+
|
| 92 |
+
<p align="center">
|
| 93 |
+
<img src="https://huggingface.co/Keyven/german-ocr-3/resolve/main/charts/02_ionos_validity.png" alt="Praxistest" width="820"/>
|
| 94 |
+
</p>
|
| 95 |
+
|
| 96 |
+
| Edition | Valid JSON | Sender korrekt | **Halluzination** | Latenz |
|
| 97 |
+
|---|---:|---:|---:|---:|
|
| 98 |
+
| `Keyvan/german-ocr-nano` | 84 % | 79 % | **0 %** | 6.6 s |
|
| 99 |
+
| **`Keyvan/german-ocr-3`** ⭐ | **100 %** | **95 %** | **0 %** | **5.0 s** |
|
| 100 |
+
|
| 101 |
+
**Keine "Mustermann"-Defaults.** German-OCR-3 liest echte Firma, Kundenadresse, Produkte, Beträge — statt zu raten.
|
| 102 |
+
|
| 103 |
+
---
|
| 104 |
+
|
| 105 |
+
## 📐 Größenvergleich
|
| 106 |
+
|
| 107 |
+
<p align="center">
|
| 108 |
+
<img src="https://huggingface.co/Keyven/german-ocr-3/resolve/main/charts/01_size_vs_competitors.png" alt="Modellgrößen" width="820"/>
|
| 109 |
+
</p>
|
| 110 |
+
|
| 111 |
+
`german-ocr-3` (2.7 GB) ist **6× kleiner** als ein typischer 7B-OCR-VLM. Läuft auf einer **8 GB-Gaming-GPU** oder über CPU auf einem normalen Laptop.
|
| 112 |
+
|
| 113 |
+
<p align="center">
|
| 114 |
+
<img src="https://huggingface.co/Keyven/german-ocr-3/resolve/main/charts/04_latency.png" alt="Latenz" width="620"/>
|
| 115 |
+
</p>
|
| 116 |
+
|
| 117 |
+
---
|
| 118 |
+
|
| 119 |
+
## 🚀 Quickstart
|
| 120 |
+
|
| 121 |
+
### Ollama (empfohlen, eine Zeile)
|
| 122 |
+
|
| 123 |
+
```bash
|
| 124 |
+
ollama pull Keyvan/german-ocr-3
|
| 125 |
+
ollama run Keyvan/german-ocr-3 "Extrahiere die Rechnung im Bild als JSON." ./meine_rechnung.png
|
| 126 |
+
```
|
| 127 |
+
|
| 128 |
+
<details>
|
| 129 |
+
<summary><b>Beispiel-Output (anonymisiert, aus Praxistest)</b> — klicken zum Aufklappen</summary>
|
| 130 |
+
|
| 131 |
+
```json
|
| 132 |
+
{
|
| 133 |
+
"document_type": "invoice",
|
| 134 |
+
"language": "de",
|
| 135 |
+
"invoice_number": "100137xXXXXX",
|
| 136 |
+
"invoice_date": "2024-01-22",
|
| 137 |
+
"due_date": "2024-01-27",
|
| 138 |
+
"sender": {
|
| 139 |
+
"name": "IONOS SE",
|
| 140 |
+
"address": "Elgendorfer Str. 57, 56410 Montabaur",
|
| 141 |
+
"vat_id": "DE81556XXX",
|
| 142 |
+
"iban": null
|
| 143 |
+
},
|
| 144 |
+
"recipient": {
|
| 145 |
+
"name": "Firma e.K.",
|
| 146 |
+
"address": "Muster Straße 32, 80335 München",
|
| 147 |
+
"customer_id": "5835XXX"
|
| 148 |
+
},
|
| 149 |
+
"line_items": [
|
| 150 |
+
{"position": 1, "description": "Mail Business 1 Liz.", "quantity": 1,
|
| 151 |
+
"unit": "Monat", "unit_price_net": 4.20, "amount_net": 4.20, "vat_rate": 19}
|
| 152 |
+
],
|
| 153 |
+
"amount_net": 4.20,
|
| 154 |
+
"amount_vat": 0.80,
|
| 155 |
+
"amount_total": 5.00,
|
| 156 |
+
"currency": "EUR",
|
| 157 |
+
"notes": ["Entsprechend Ihrem SEPA-Lastschriftmandat ..."]
|
| 158 |
+
}
|
| 159 |
+
```
|
| 160 |
+
|
| 161 |
+
</details>
|
| 162 |
+
|
| 163 |
+
### Python (via Ollama HTTP API)
|
| 164 |
+
|
| 165 |
+
```python
|
| 166 |
+
import base64, json, requests
|
| 167 |
+
from pathlib import Path
|
| 168 |
+
|
| 169 |
+
b64 = base64.b64encode(Path("rechnung.png").read_bytes()).decode()
|
| 170 |
+
resp = requests.post("http://localhost:11434/api/generate", json={
|
| 171 |
+
"model": "Keyvan/german-ocr-3",
|
| 172 |
+
"prompt": "Extrahiere die Rechnung im Bild als JSON.",
|
| 173 |
+
"images": [b64],
|
| 174 |
+
"stream": False,
|
| 175 |
+
"options": {"temperature": 0, "num_ctx": 32768},
|
| 176 |
+
})
|
| 177 |
+
data = json.loads(resp.json()["response"])
|
| 178 |
+
print(json.dumps(data, indent=2, ensure_ascii=False))
|
| 179 |
+
```
|
| 180 |
+
|
| 181 |
+
### Bundle herunterladen
|
| 182 |
+
|
| 183 |
+
```bash
|
| 184 |
+
huggingface-cli download Keyven/german-ocr-3 --local-dir ./german-ocr-3
|
| 185 |
+
# Enthält: Modelfile · JSON-Schemas · System-Prompt · GGUF-Quants · Charts
|
| 186 |
+
```
|
| 187 |
+
|
| 188 |
+
### llama.cpp (GGUF direkt)
|
| 189 |
+
|
| 190 |
+
```bash
|
| 191 |
+
llama-cli -m ./german-ocr-3/german-ocr-3-Q4_K_M.gguf \
|
| 192 |
+
--system-prompt-file ./german-ocr-3/system_prompt.txt \
|
| 193 |
+
-p "Extrahiere die Rechnung als JSON:" --temp 0
|
| 194 |
+
```
|
| 195 |
+
|
| 196 |
+
---
|
| 197 |
+
|
| 198 |
+
## 📚 Trainings- und Evaluations-Datensätze
|
| 199 |
+
|
| 200 |
+
| Datensatz | Umfang | Typ |
|
| 201 |
+
|---|---|---|
|
| 202 |
+
| [`neuralabs/german-synth-ocr`](https://huggingface.co/datasets/neuralabs/german-synth-ocr) | 4 500+ | Deutsche OCR-Samples (synthetisch, Apache-2.0) |
|
| 203 |
+
| [`Aoschu/German_invoices_dataset_for_donut`](https://huggingface.co/datasets/Aoschu/German_invoices_dataset_for_donut) | 129 | Echte deutsche Rechnungen (Donut-Format) |
|
| 204 |
+
| Eigenes synthetisches DE-Rechnungs-Set | 100 | Rechnungen mit Golden-JSON, deterministisch generiert |
|
| 205 |
+
| Anonymisierter DACH-Praxistest | 200+ | Echte Rechnungen verschiedener DACH-Anbieter (intern, DSGVO) |
|
| 206 |
+
|
| 207 |
+
---
|
| 208 |
+
|
| 209 |
+
## 🎯 Zielgruppen
|
| 210 |
+
|
| 211 |
+
- **Solo-Builder & Indies** — deutsche Dokumente lokal extrahieren, ohne Cloud-OCR-Kosten.
|
| 212 |
+
- **DACH-KMU mit Datenschutz-Anspruch** — lokal / on-prem hosten.
|
| 213 |
+
- **Agenturen & Studios** — Open-Source-Fundament unter der eigenen Pipeline.
|
| 214 |
+
|
| 215 |
+
Wer es **gemanagt** und mit noch größeren Modellen will:
|
| 216 |
+
|
| 217 |
+
> 🌐 **[german-ocr.de](https://german-ocr.de)** — gehostete deutsche OCR-API mit Premium-Modellen, höherer Genauigkeit, ohne eigene Hardware. Daten bleiben in der EU.
|
| 218 |
+
|
| 219 |
+
---
|
| 220 |
+
|
| 221 |
+
## ⚠️ Limitations
|
| 222 |
+
|
| 223 |
+
- Optimiert für **deutsche** Dokumente — andere Sprachen keine Garantie.
|
| 224 |
+
- Beste Qualität bei klaren, hochauflösenden Scans/Fotos.
|
| 225 |
+
- Handschriftliche Dokumente: nur begrenzt.
|
| 226 |
+
- Bei kritischen Vorgängen (Buchhaltung, Recht): **immer Human-in-the-Loop**.
|
| 227 |
+
|
| 228 |
+
---
|
| 229 |
+
|
| 230 |
+
## 🙏 Credit & Attribution
|
| 231 |
+
|
| 232 |
+
German-OCR-3 baut auf der hervorragenden Arbeit des **Qwen-Teams bei Alibaba Group** auf. Die zugrundeliegende Vision-Language-Architektur stammt aus der **Qwen 3.5 Small Series**, veröffentlicht unter Apache License 2.0. Ohne die offene Forschung und die saubere Veröffentlichung der Qwen-Weights wäre dieses Projekt nicht möglich.
|
| 233 |
+
|
| 234 |
+
- **Qwen 3.5** — https://huggingface.co/Qwen · https://qwen.ai
|
| 235 |
+
- **Apache License 2.0** (Weights) — © 2025–2026 Qwen Team, Alibaba Group
|
| 236 |
+
- **Qwen2.5-VL Technical Report** — [arXiv:2502.13923](https://arxiv.org/abs/2502.13923)
|
| 237 |
+
|
| 238 |
+
Vollständiger Attribution-Text in [`NOTICE`](NOTICE).
|
| 239 |
+
|
| 240 |
+
---
|
| 241 |
+
|
| 242 |
+
## <a id="license"></a>📄 License
|
| 243 |
+
|
| 244 |
+
**Apache License 2.0** für die gesamte German-OCR-3-Distribution (Modelfiles, System-Prompt, Schemas, Docs, GGUFs).
|
| 245 |
+
|
| 246 |
+
---
|
| 247 |
+
|
| 248 |
+
## 📑 Citation
|
| 249 |
+
|
| 250 |
+
Wenn du German-OCR-3 in Forschung oder Produktion verwendest, zitiere bitte **beides** — unsere Distribution und die Qwen-Basisarbeit:
|
| 251 |
+
|
| 252 |
+
```bibtex
|
| 253 |
+
@misc{german_ocr_3_2026,
|
| 254 |
+
title = {German-OCR-3: A compact German document-OCR distribution},
|
| 255 |
+
author = {Hardani, Keyvan},
|
| 256 |
+
year = {2026},
|
| 257 |
+
url = {https://github.com/Keyvanhardani/German-OCR}
|
| 258 |
+
}
|
| 259 |
+
|
| 260 |
+
@misc{qwen35_2026,
|
| 261 |
+
title = {Qwen 3.5 Small Series},
|
| 262 |
+
author = {{Qwen Team, Alibaba Group}},
|
| 263 |
+
year = {2026},
|
| 264 |
+
howpublished = {\url{https://huggingface.co/Qwen}},
|
| 265 |
+
note = {Apache License 2.0}
|
| 266 |
+
}
|
| 267 |
+
|
| 268 |
+
@article{qwen25vl_2025,
|
| 269 |
+
title = {Qwen2.5-VL Technical Report},
|
| 270 |
+
author = {{Qwen Team, Alibaba Group}},
|
| 271 |
+
journal = {arXiv preprint arXiv:2502.13923},
|
| 272 |
+
year = {2025}
|
| 273 |
+
}
|
| 274 |
+
```
|
| 275 |
+
|
| 276 |
+
---
|
| 277 |
+
|
| 278 |
+
## 👤 Author
|
| 279 |
+
|
| 280 |
+
**Keyvan Hardani**
|
| 281 |
+
· Website: [keyvan.ai](https://keyvan.ai)
|
| 282 |
+
· LinkedIn: [linkedin.com/in/keyvanhardani](https://linkedin.com/in/keyvanhardani)
|
| 283 |
+
· GitHub: [@Keyvanhardani](https://github.com/Keyvanhardani)
|
| 284 |
+
· Hosted Premium: [german-ocr.de](https://german-ocr.de)
|
charts/01_size_vs_competitors.png
ADDED
|
charts/02_ionos_validity.png
ADDED
|
charts/04_latency.png
ADDED
|
german-ocr-3-Q4_K_M.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b452184be7339c85516c6c468f4f3dcedd7491b40af19750f971ed8d0090800d
|
| 3 |
+
size 1274396544
|
german-ocr-3-nano-Q4_K_M.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0f5b3fd77990f44761275bb8d990d7fa0860c9aa8ad56e0559e402a1f1b03f54
|
| 3 |
+
size 529297312
|
logo.png
ADDED
|
schemas/form.json
ADDED
|
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"$schema": "https://json-schema.org/draft/2020-12/schema",
|
| 3 |
+
"$id": "german-ocr-3/schemas/form.json",
|
| 4 |
+
"title": "GermanOCR3 Form (Formular)",
|
| 5 |
+
"description": "Generisches Schema fuer ausgefuellte deutsche Formulare. Felder werden als Liste von Label/Value-Paaren geliefert, plus optionale Checkbox-Liste und Unterschriften.",
|
| 6 |
+
"type": "object",
|
| 7 |
+
"additionalProperties": false,
|
| 8 |
+
"required": ["document_type", "language", "fields"],
|
| 9 |
+
"properties": {
|
| 10 |
+
"document_type": {"const": "form"},
|
| 11 |
+
"language": {"type": "string", "default": "de"},
|
| 12 |
+
"form_title": {"type": ["string", "null"]},
|
| 13 |
+
"form_id": {"description": "z.B. Antragsnummer / Formularkennung", "type": ["string", "null"]},
|
| 14 |
+
"issuing_authority": {"type": ["string", "null"]},
|
| 15 |
+
|
| 16 |
+
"fields": {
|
| 17 |
+
"type": "array",
|
| 18 |
+
"description": "Erkannte Label/Wert-Paare in Lesereihenfolge.",
|
| 19 |
+
"items": {
|
| 20 |
+
"type": "object",
|
| 21 |
+
"additionalProperties": false,
|
| 22 |
+
"required": ["label", "value"],
|
| 23 |
+
"properties": {
|
| 24 |
+
"label": {"type": "string"},
|
| 25 |
+
"value": {"type": ["string", "number", "boolean", "null"]},
|
| 26 |
+
"section": {"type": ["string", "null"]},
|
| 27 |
+
"page": {"type": ["integer", "null"]}
|
| 28 |
+
}
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
|
| 32 |
+
"checkboxes": {
|
| 33 |
+
"type": "array",
|
| 34 |
+
"default": [],
|
| 35 |
+
"items": {
|
| 36 |
+
"type": "object",
|
| 37 |
+
"additionalProperties": false,
|
| 38 |
+
"required": ["label", "checked"],
|
| 39 |
+
"properties": {
|
| 40 |
+
"label": {"type": "string"},
|
| 41 |
+
"checked": {"type": "boolean"},
|
| 42 |
+
"section": {"type": ["string", "null"]}
|
| 43 |
+
}
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
|
| 47 |
+
"signatures": {
|
| 48 |
+
"type": "array",
|
| 49 |
+
"default": [],
|
| 50 |
+
"items": {
|
| 51 |
+
"type": "object",
|
| 52 |
+
"additionalProperties": false,
|
| 53 |
+
"properties": {
|
| 54 |
+
"by": {"type": ["string", "null"]},
|
| 55 |
+
"place": {"type": ["string", "null"]},
|
| 56 |
+
"date": {"type": ["string", "null"]},
|
| 57 |
+
"present": {"type": "boolean"}
|
| 58 |
+
}
|
| 59 |
+
}
|
| 60 |
+
},
|
| 61 |
+
|
| 62 |
+
"raw_text": {"type": ["string", "null"]},
|
| 63 |
+
"confidence": {"type": ["number", "null"], "minimum": 0, "maximum": 1},
|
| 64 |
+
"notes": {"type": "array", "items": {"type": "string"}, "default": []}
|
| 65 |
+
}
|
| 66 |
+
}
|
schemas/generic_document.json
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"$schema": "https://json-schema.org/draft/2020-12/schema",
|
| 3 |
+
"$id": "german-ocr-3/schemas/generic_document.json",
|
| 4 |
+
"title": "GermanOCR3 Generic Document",
|
| 5 |
+
"description": "Allgemeines deutsches Dokument-Extraktionsschema. Felder dürfen null sein, wenn nicht eindeutig erkennbar.",
|
| 6 |
+
"type": "object",
|
| 7 |
+
"additionalProperties": false,
|
| 8 |
+
"required": ["document_type", "language", "raw_text", "confidence"],
|
| 9 |
+
"properties": {
|
| 10 |
+
"document_type": {
|
| 11 |
+
"description": "z.B. invoice, receipt, letter, form, contract, id_card, other, unknown",
|
| 12 |
+
"type": ["string", "null"]
|
| 13 |
+
},
|
| 14 |
+
"language": {
|
| 15 |
+
"description": "BCP-47 Sprachcode des Dokuments (typisch 'de').",
|
| 16 |
+
"type": "string",
|
| 17 |
+
"default": "de"
|
| 18 |
+
},
|
| 19 |
+
"sender": {
|
| 20 |
+
"type": ["object", "null"],
|
| 21 |
+
"additionalProperties": false,
|
| 22 |
+
"properties": {
|
| 23 |
+
"name": {"type": ["string", "null"]},
|
| 24 |
+
"address": {"type": ["string", "null"]},
|
| 25 |
+
"email": {"type": ["string", "null"]},
|
| 26 |
+
"phone": {"type": ["string", "null"]},
|
| 27 |
+
"tax_id": {"type": ["string", "null"]},
|
| 28 |
+
"vat_id": {"type": ["string", "null"]}
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"recipient": {
|
| 32 |
+
"type": ["object", "null"],
|
| 33 |
+
"additionalProperties": false,
|
| 34 |
+
"properties": {
|
| 35 |
+
"name": {"type": ["string", "null"]},
|
| 36 |
+
"address": {"type": ["string", "null"]},
|
| 37 |
+
"customer_id": {"type": ["string", "null"]}
|
| 38 |
+
}
|
| 39 |
+
},
|
| 40 |
+
"date": {
|
| 41 |
+
"description": "Hauptdatum des Dokuments im Format YYYY-MM-DD, falls eindeutig erkennbar.",
|
| 42 |
+
"type": ["string", "null"]
|
| 43 |
+
},
|
| 44 |
+
"reference_numbers": {
|
| 45 |
+
"type": "array",
|
| 46 |
+
"items": {
|
| 47 |
+
"type": "object",
|
| 48 |
+
"additionalProperties": false,
|
| 49 |
+
"required": ["label", "value"],
|
| 50 |
+
"properties": {
|
| 51 |
+
"label": {"type": "string"},
|
| 52 |
+
"value": {"type": "string"}
|
| 53 |
+
}
|
| 54 |
+
},
|
| 55 |
+
"default": []
|
| 56 |
+
},
|
| 57 |
+
"amounts": {
|
| 58 |
+
"type": "array",
|
| 59 |
+
"items": {
|
| 60 |
+
"type": "object",
|
| 61 |
+
"additionalProperties": false,
|
| 62 |
+
"required": ["label", "value"],
|
| 63 |
+
"properties": {
|
| 64 |
+
"label": {"type": "string"},
|
| 65 |
+
"value": {"type": ["number", "string"]},
|
| 66 |
+
"currency": {"type": ["string", "null"]}
|
| 67 |
+
}
|
| 68 |
+
},
|
| 69 |
+
"default": []
|
| 70 |
+
},
|
| 71 |
+
"tables": {
|
| 72 |
+
"type": "array",
|
| 73 |
+
"default": [],
|
| 74 |
+
"items": {
|
| 75 |
+
"type": "object",
|
| 76 |
+
"additionalProperties": false,
|
| 77 |
+
"required": ["headers", "rows"],
|
| 78 |
+
"properties": {
|
| 79 |
+
"title": {"type": ["string", "null"]},
|
| 80 |
+
"headers": {"type": "array", "items": {"type": "string"}},
|
| 81 |
+
"rows": {
|
| 82 |
+
"type": "array",
|
| 83 |
+
"items": {
|
| 84 |
+
"type": "array",
|
| 85 |
+
"items": {"type": ["string", "number", "null"]}
|
| 86 |
+
}
|
| 87 |
+
}
|
| 88 |
+
}
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
"raw_text": {
|
| 92 |
+
"description": "Roher OCR-Text, möglichst layouterhaltend, deutsche Originalschreibweise behalten.",
|
| 93 |
+
"type": ["string", "null"]
|
| 94 |
+
},
|
| 95 |
+
"confidence": {
|
| 96 |
+
"description": "Subjektive Selbsteinschätzung 0..1.",
|
| 97 |
+
"type": ["number", "null"],
|
| 98 |
+
"minimum": 0,
|
| 99 |
+
"maximum": 1
|
| 100 |
+
},
|
| 101 |
+
"notes": {
|
| 102 |
+
"type": "array",
|
| 103 |
+
"items": {"type": "string"},
|
| 104 |
+
"default": []
|
| 105 |
+
}
|
| 106 |
+
}
|
| 107 |
+
}
|
schemas/invoice.json
ADDED
|
@@ -0,0 +1,101 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"$schema": "https://json-schema.org/draft/2020-12/schema",
|
| 3 |
+
"$id": "german-ocr-3/schemas/invoice.json",
|
| 4 |
+
"title": "GermanOCR3 Invoice (Rechnung)",
|
| 5 |
+
"description": "Schema fuer deutsche Rechnungen. Pflichtangaben gemaess UStG § 14 sind beruecksichtigt; nicht erkennbare Felder bleiben null.",
|
| 6 |
+
"type": "object",
|
| 7 |
+
"additionalProperties": false,
|
| 8 |
+
"required": ["document_type", "language", "invoice_number", "invoice_date", "amount_total", "currency"],
|
| 9 |
+
"properties": {
|
| 10 |
+
"document_type": {"const": "invoice"},
|
| 11 |
+
"language": {"type": "string", "default": "de"},
|
| 12 |
+
|
| 13 |
+
"invoice_number": {"type": ["string", "null"]},
|
| 14 |
+
"invoice_date": {
|
| 15 |
+
"description": "Rechnungsdatum YYYY-MM-DD",
|
| 16 |
+
"type": ["string", "null"]
|
| 17 |
+
},
|
| 18 |
+
"delivery_date": {
|
| 19 |
+
"description": "Liefer-/Leistungsdatum YYYY-MM-DD",
|
| 20 |
+
"type": ["string", "null"]
|
| 21 |
+
},
|
| 22 |
+
"due_date": {
|
| 23 |
+
"description": "Faelligkeitsdatum YYYY-MM-DD",
|
| 24 |
+
"type": ["string", "null"]
|
| 25 |
+
},
|
| 26 |
+
|
| 27 |
+
"sender": {
|
| 28 |
+
"type": ["object", "null"],
|
| 29 |
+
"additionalProperties": false,
|
| 30 |
+
"properties": {
|
| 31 |
+
"name": {"type": ["string", "null"]},
|
| 32 |
+
"address": {"type": ["string", "null"]},
|
| 33 |
+
"email": {"type": ["string", "null"]},
|
| 34 |
+
"phone": {"type": ["string", "null"]},
|
| 35 |
+
"tax_id": {"description": "Steuernummer", "type": ["string", "null"]},
|
| 36 |
+
"vat_id": {"description": "USt-IdNr / VAT ID (DE...)", "type": ["string", "null"]},
|
| 37 |
+
"iban": {"type": ["string", "null"]},
|
| 38 |
+
"bic": {"type": ["string", "null"]},
|
| 39 |
+
"bank": {"type": ["string", "null"]}
|
| 40 |
+
}
|
| 41 |
+
},
|
| 42 |
+
"recipient": {
|
| 43 |
+
"type": ["object", "null"],
|
| 44 |
+
"additionalProperties": false,
|
| 45 |
+
"properties": {
|
| 46 |
+
"name": {"type": ["string", "null"]},
|
| 47 |
+
"address": {"type": ["string", "null"]},
|
| 48 |
+
"customer_id": {"type": ["string", "null"]},
|
| 49 |
+
"vat_id": {"type": ["string", "null"]}
|
| 50 |
+
}
|
| 51 |
+
},
|
| 52 |
+
|
| 53 |
+
"line_items": {
|
| 54 |
+
"type": "array",
|
| 55 |
+
"default": [],
|
| 56 |
+
"items": {
|
| 57 |
+
"type": "object",
|
| 58 |
+
"additionalProperties": false,
|
| 59 |
+
"required": ["description", "amount_net"],
|
| 60 |
+
"properties": {
|
| 61 |
+
"position": {"type": ["integer", "null"]},
|
| 62 |
+
"article_number": {"type": ["string", "null"]},
|
| 63 |
+
"description": {"type": "string"},
|
| 64 |
+
"quantity": {"type": ["number", "null"]},
|
| 65 |
+
"unit": {"type": ["string", "null"]},
|
| 66 |
+
"unit_price_net": {"type": ["number", "null"]},
|
| 67 |
+
"amount_net": {"type": ["number", "null"]},
|
| 68 |
+
"vat_rate": {"description": "Prozent, z.B. 19 oder 7", "type": ["number", "null"]}
|
| 69 |
+
}
|
| 70 |
+
}
|
| 71 |
+
},
|
| 72 |
+
|
| 73 |
+
"amount_net": {"type": ["number", "null"]},
|
| 74 |
+
"amount_vat": {"type": ["number", "null"]},
|
| 75 |
+
"amount_total": {"type": ["number", "null"]},
|
| 76 |
+
"currency": {
|
| 77 |
+
"type": ["string", "null"],
|
| 78 |
+
"description": "ISO-4217, typisch EUR"
|
| 79 |
+
},
|
| 80 |
+
|
| 81 |
+
"vat_breakdown": {
|
| 82 |
+
"type": "array",
|
| 83 |
+
"default": [],
|
| 84 |
+
"items": {
|
| 85 |
+
"type": "object",
|
| 86 |
+
"additionalProperties": false,
|
| 87 |
+
"required": ["rate", "net", "vat"],
|
| 88 |
+
"properties": {
|
| 89 |
+
"rate": {"type": "number"},
|
| 90 |
+
"net": {"type": "number"},
|
| 91 |
+
"vat": {"type": "number"}
|
| 92 |
+
}
|
| 93 |
+
}
|
| 94 |
+
},
|
| 95 |
+
|
| 96 |
+
"payment_terms": {"type": ["string", "null"]},
|
| 97 |
+
"notes": {"type": "array", "items": {"type": "string"}, "default": []},
|
| 98 |
+
"raw_text": {"type": ["string", "null"]},
|
| 99 |
+
"confidence": {"type": ["number", "null"], "minimum": 0, "maximum": 1}
|
| 100 |
+
}
|
| 101 |
+
}
|
schemas/letter.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"$schema": "https://json-schema.org/draft/2020-12/schema",
|
| 3 |
+
"$id": "german-ocr-3/schemas/letter.json",
|
| 4 |
+
"title": "GermanOCR3 Letter (Brief)",
|
| 5 |
+
"description": "Schema fuer deutsche Geschaefts- oder Behoerdenbriefe (DIN-5008-naher Aufbau).",
|
| 6 |
+
"type": "object",
|
| 7 |
+
"additionalProperties": false,
|
| 8 |
+
"required": ["document_type", "language", "subject", "body"],
|
| 9 |
+
"properties": {
|
| 10 |
+
"document_type": {"const": "letter"},
|
| 11 |
+
"language": {"type": "string", "default": "de"},
|
| 12 |
+
|
| 13 |
+
"sender": {
|
| 14 |
+
"type": ["object", "null"],
|
| 15 |
+
"additionalProperties": false,
|
| 16 |
+
"properties": {
|
| 17 |
+
"name": {"type": ["string", "null"]},
|
| 18 |
+
"address": {"type": ["string", "null"]},
|
| 19 |
+
"email": {"type": ["string", "null"]},
|
| 20 |
+
"phone": {"type": ["string", "null"]}
|
| 21 |
+
}
|
| 22 |
+
},
|
| 23 |
+
"recipient": {
|
| 24 |
+
"type": ["object", "null"],
|
| 25 |
+
"additionalProperties": false,
|
| 26 |
+
"properties": {
|
| 27 |
+
"name": {"type": ["string", "null"]},
|
| 28 |
+
"address": {"type": ["string", "null"]}
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
|
| 32 |
+
"place": {"type": ["string", "null"]},
|
| 33 |
+
"date": {"description": "Briefdatum YYYY-MM-DD", "type": ["string", "null"]},
|
| 34 |
+
"reference": {
|
| 35 |
+
"description": "Aktenzeichen / Ihr Zeichen / Unser Zeichen.",
|
| 36 |
+
"type": ["object", "null"],
|
| 37 |
+
"additionalProperties": false,
|
| 38 |
+
"properties": {
|
| 39 |
+
"ihr_zeichen": {"type": ["string", "null"]},
|
| 40 |
+
"ihre_nachricht_vom": {"type": ["string", "null"]},
|
| 41 |
+
"unser_zeichen": {"type": ["string", "null"]},
|
| 42 |
+
"unsere_nachricht_vom": {"type": ["string", "null"]}
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
|
| 46 |
+
"subject": {"type": ["string", "null"]},
|
| 47 |
+
"salutation": {"type": ["string", "null"]},
|
| 48 |
+
"body": {
|
| 49 |
+
"description": "Kompletter Brieftext, Absaetze mit \\n\\n getrennt.",
|
| 50 |
+
"type": ["string", "null"]
|
| 51 |
+
},
|
| 52 |
+
"closing": {"type": ["string", "null"]},
|
| 53 |
+
"signatory": {"type": ["string", "null"]},
|
| 54 |
+
"enclosures": {"type": "array", "items": {"type": "string"}, "default": []},
|
| 55 |
+
|
| 56 |
+
"deadlines_mentioned": {
|
| 57 |
+
"type": "array",
|
| 58 |
+
"default": [],
|
| 59 |
+
"items": {
|
| 60 |
+
"type": "object",
|
| 61 |
+
"additionalProperties": false,
|
| 62 |
+
"properties": {
|
| 63 |
+
"date": {"type": ["string", "null"]},
|
| 64 |
+
"context": {"type": ["string", "null"]}
|
| 65 |
+
}
|
| 66 |
+
}
|
| 67 |
+
},
|
| 68 |
+
|
| 69 |
+
"raw_text": {"type": ["string", "null"]},
|
| 70 |
+
"confidence": {"type": ["number", "null"], "minimum": 0, "maximum": 1},
|
| 71 |
+
"notes": {"type": "array", "items": {"type": "string"}, "default": []}
|
| 72 |
+
}
|
| 73 |
+
}
|