Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
PDF to markdown using vision LLMs — tables, layouts, and structure preserved
| Date | Stars |
|---|---|
| 2026-07-31 | 900 |
| 2026-08-06 | 901 |
Today
+1 stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
LLM-powered PDF to markdown. uses vision models to actually read your documents — tables, headers, mixed layouts — and outputs clean, structured markdown. not traditional OCR. ```bash curl -X POST "http://localhost:8000/ocr" -F "[email protected]" ``` [](https://www.python.org/) [](https://fastapi.tiangolo.com/) [](https://www.gnu.org/licenses/agpl-3.0) --- ## demo https://github.com/user-attachments/assets/6b39f3ea-248e-4c29-ac2e-b57de64d5d65 NASA Apollo 17 flight docs — mixed orientations, messy layouts — converted to structured markdown. --- ## what it does - **vision model OCR** — understands context, not just character shapes - **parallel processing** — 50-page PDF in seconds, not minutes - **table preservation** — detected and formatted as proper markdown tables - **smart batching** — configurable pages-per-request for speed vs accuracy tradeoff - **retry with backoff** — handles rate limits and timeouts without crashing - **flexible input** — file upload or URL, your choice - **image descriptions** — non-text elements get `[Image: description]` annotations ## cost using OpenAI as an example (~1,500 tokens/page average): | model | cost per 1,000 pages | |:---|:---| | GPT-4o | ~$15 | | GPT-4o mini | ~$8 | | batch API | ~$4 | works with any OpenAI-compatible vision API. swap the endpoint and model in config. ## install ```bash git clone https://github.com/yigitkonur/api-llm-ocr.git cd api-llm-ocr python3 -m venv venv source venv/bin/activate pip install -r requirements.txt ``` ### configure create a `.env` file: ```env # required OPENAI_API_KEY=your_api_key AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/ OPENAI_DEPLOYMENT_ID=your_vision_model_deployment # optional OPENAI_API_VERSION=gpt-4o BATCH_SIZE=1 MAX_CONCURRENT_OCR_REQUESTS=5 MAX_CONCURRENT_PDF_CONVERSION=4 ``` ### run ```bash # pick one uvicorn main:app --reload uvicorn swift_ocr.app:app --reload python -m swift_ocr python -m swift_ocr --host 0.0.0.0 --port 8080 --workers 4 ``` API lives at `http://127.0.0.1:8000`. auto-generated docs at `/docs`. ## usage ### upload a file ```bash curl -X POST "http://127.0.0.1:8000/ocr" \ -F "file=@/path/to/document.pdf" ``` ### process from URL ```bash curl -X POST "http://127.0.0.1:8000/ocr" \ -H "Content-Type: application/json" \ -d '{"url": "https://example.com/document.pdf"}' ``` ### response ```json { "text": "# document title\n\n## section 1\n\nextracted text...", "status": "success", "pages_processed": 5, "processing_time_ms": 1234 } ``` ### health check ```bash curl http://127.0.0.1:8000/health ``` ### error codes | code | meaning | |:---|:---| | `200` | success | | `400` | bad request (no file/URL, or both provided) | | `422` | validation error | | `429` | rate limited — retry with backoff | | `500` | processing error | | `504` | timeout downloading PDF | ## configuration | variable | default | description | |:---|:---|:---| | `OPENAI_API_KEY` | — | API key | | `AZURE_OPENAI_ENDPOINT` | — | endpoint URL | | `OPENAI_DEPLOYMENT_ID` | — | vision model deployment ID | | `OPENAI_API_VERSION` | `gpt-4o` | API version | | `BATCH_SIZE` | `1` | pages per OCR request (1-10). higher = faster, less accurate | | `MAX_CONCURRENT_OCR_REQUESTS` | `5` | parallel OCR calls | | `MAX_CONCURRENT_PDF_CONVERSION` | `4` | parallel page renders. match your CPU cores | ### tuning - **high accuracy:** `BATCH_SIZE=1` - **balanced:** `BATCH_SIZE=5`, `MAX_CONCURRENT_OCR_REQUESTS=10` - **max throughput:** `BATCH_SIZE=10`, `MAX_CONCURRENT_OCR_REQUESTS=20` (watch rate limits) ## project structure ``` swift_ocr/ __init__.py — package init __main__.py — CLI entry point app.py — FastAPI app factory config
Excerpt of 5,331 characters
Read on GitHub
Yigit Konur · United States
17
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ed81488ef2987209, topic:ocr, name:ocr