Open Source Alternatives
Open Source OCR Alternatives to AWS Textract
Amazon's cloud OCR and document-extraction API. Pulls text, handwriting, forms, tables, and structured fields (IDs, invoices) out of scans, PDFs, and images, billed per page.
AWS Textract is a trademark of its respective owner.
Updated Jul 2026
What you gain
- ✓Kill the per-page bill: Textract runs about $50 per 1,000 pages for Forms and $15 for Tables, which self-hosting drops to just your compute cost
- ✓Documents stay on your own hardware instead of uploading to AWS, which matters for contracts, medical records, and IDs
- ✓Run the same OCR pipeline anywhere, including on-prem or an air-gapped network Textract can't reach
- ✓Fine-tune or swap the model for your document types (dense tables, non-English scans) instead of accepting a fixed API's output
What you give up
- △You rebuild the key-value and table structuring: Textract's Forms and Queries return parsed field pairs, while OSS OCR mostly hands back raw text and bounding boxes
- △You own the GPUs and the inference pipeline; Textract is fully managed and scales itself
- △No fallback accuracy on hard inputs like poor scans and handwriting, where the managed model is tuned hard
- △Setup and tuning time before you match production quality
Switching Cost
Swapping Textract for open source OCR is a moderate lift, and the model is the easy part. A solo dev can run PaddleOCR or MonkeyOCR against sample documents in a day or two; a team standardizing extraction across many document types should budget two to four weeks to reach Textract's Forms and Tables accuracy. The hidden cost is the post-processing: Textract's key-value and table parsing is the piece you'll spend the most time rebuilding, and messy real-world scans are exactly where the managed service quietly earns its price.
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Drop-in Replacements
Ranked by feature coverage
PaddleOCR
7165% coverageTurn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
PaddleOCR is the workhorse of open source OCR. Built by Baidu, it reads text out of images and documents in over 100 languages, and the newer pieces go further: PP-StructureV3 pulls layout and tables into Markdown or JSON, and PaddleOCR-VL is a vision-language model that parses whole documents including formulas and charts.
docling
7555% coverageGet your documents ready for gen AI
Docling turns messy documents into clean, structured data for AI. Feed it PDFs, Word docs, PowerPoints, spreadsheets, images, even HTML or email, and it produces Markdown or JSON with the layout, reading order, tables, formulas, and code preserved.
MonkeyOCR
7455% coverageA lightweight LMM-based Document Parsing Model
MonkeyOCR turns documents into structured data: it reads a PDF or a scan and pulls out the text, the tables, and the math formulas in the correct reading order. If you've ever needed clean data out of messy PDFs, that's the job.
Unlimited-OCR
8850% coverageUnlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.
Unlimited-OCR is Baidu's open model for turning images and PDFs into text. Point it at a scanned contract, a multi-page report, or a screenshot full of text and it reads the whole thing in one pass, even very long documents.
PaddleOCR and Docling match Textract's core work: reading text, tables, and layout out of documents into structured Markdown or JSON, and both are commercial-safe (Apache 2.0 and MIT). MonkeyOCR beats Textract on some benchmarks but its weights are non-commercial only. The real gap is Textract's prebuilt document-type models (Analyze ID, Expense, Lending) and its Forms and Queries key-value parsing, plus managed scaling. If you need text, tables, and layout out of PDFs, the open source path is clean and kills the per-page bill. If your product leans on Textract's ID and expense models or its managed forms parsing, you rebuild that yourself.
OSS covers
- ✓text and handwriting OCR
- ✓table extraction
- ✓layout parsing
OSS does not cover
- △Forms and Queries key-value parsing out of the box
- △prebuilt Analyze ID, Expense, and Lending document models
- △managed scaling and accuracy tuning on poor scans
Building Blocks
AWS Textract is a platform. It bundles multiple capabilities into one subscription. These tools each cover one piece. Teams often assemble 2–3 of them instead of paying for the full suite.
OnnxOCR
60covers: text OCR35%基于PaddleOCR重构，并且脱离PaddlePaddle深度学习训练框架的轻量级OCR，推理速度超快 —— A lightweight OCR system based on PaddleOCR, decoupled from the PaddlePaddle deep learning training framework, with ultra-fast inference speed.
tesseract
75covers: text OCR30%Tesseract Open Source OCR Engine (main repository)
kreuzberg
68covers: text extraction30%A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 91+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.