{"repo":"aiptimizer/TurboOCR","free":true,"listed":false,"github":"https://github.com/aiptimizer/TurboOCR","clone":"git clone https://github.com/aiptimizer/TurboOCR.git","description":"TurboOCR, >200 img/s OmnidocBench. TensorRT FP16, PP-OCRv6, HTTP + gRPC","language":"C++","stars":1009,"topics":["document-parsing","fastapi","fp16","grpc","ocr","paddleocr","pdf-extraction","rag","tensorrt","text-detection"],"license":"MIT","category":"media-processing","readme_excerpt":"🧪 Apple Metal and Intel OpenVINO backends are in testing, with AMD ROCm in development. NVIDIA is the only backend shipped today. English 简体中文 The fastest GPU document parser — OCR · layout · tables · formulas → Markdown, at 200–559 images/s on one GPU. C++ / CUDA / TensorRT / PP-OCRv6 — Linux + NVIDIA GPU 🎉 v3.0 — now powered by PP-OCRv6 New medium / small / tiny tiers · higher accuracy · faster defaults · breaking changes ⭐ Star TurboOCR on GitHub — it helps others (and agents) find it. Quick Start · Accuracy · Benchmarks · Models · v3 changes · API · Docs --- An extremely fast GPU document parser — not just OCR. PP-OCRv6 detection + recognition, plus layout, tables (→ HTML), formulas (→ LaTeX) and reading-order Markdown , the whole pipeline on a single multi-stream CUDA/TensorRT engine, locally (no VLM), behind HTTP and gRPC. Whole-page OCR runs at up to 559 images/s on receipts (one RTX 5090), and full structured parsing (layout + tables + formulas) at 20 pages/s — where VLM document parsers like PaddleOCR-VL run 1 page/s. On forms and receipts it is accurate and 15–90× faster than classic OCR engines. - 🚀 559 img/s (receipts) · 520 (forms) · 200+ (dense docs) on one RTX 5090 — fastest by default - 🎯 Accurate on forms & receipts — competitive with PaddleOCR-VL, PaddleOCR-Python, RapidOCR, EasyOCR and Tesseract (benchmarks) - 🧠 PP-OCRv6 — one model covers Latin + Chinese + Japanese; pick tiny (default) / smal","default_branch":null,"files":null,"tree":[],"storefront":"/r/aiptimizer","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/aiptimizer/TurboOCR/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}