Life & fun · alternatives · 2026
24 alternatives to Keras-OCR is an end-to-end, trainable OCR pipeline
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model. - faustomorales/keras-ocr
Keras-OCR is an open-source optical character recognition pipeline built with Keras that can be trained end-to-end for custom OCR tasks. It is designed for developers and researchers who need to extract text from… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Keras-OCR is an end-to-end, trainable OCR pipeline launched in 2019; newer entries below may have overtaken it.
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Hi HN, I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown. Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and…
2025 · github.com · its alternatives →
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DeepSeek-OCR▲350Advanced visual-text compression technology
2025 · huggingface.co · its alternatives →
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Mistral OCR▲592Introducing the world’s best document understanding API
2025 · mistral.ai · its alternatives →
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Neural network OCR. Contribute to mateogianolio/ocr development by creating an account on GitHub.
2015 · github.com · its alternatives →
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Pure Javascript OCR for more than 100 Languages 📖🎉🖥 - naptha/tesseract.js
2016 · github.com · its alternatives →
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I built OCR Arena as a free playground for the community to compare leading foundation VLMs and open-source OCR models side-by-side. Upload any doc, measure accuracy, and (optionally) vote for the models on a public leaderboard. It currently has Gemini 3, dots.ocr, DeepSeek, GPT5, olmOCR 2, Qwen, and a few others. If there's any others you'd like included, let me know!
Nov 2025 · ocrarena.ai · its alternatives →
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Infrrd OCR▲118Extract data from invoices and receipts with AI based OCR
2018 · infrrd.ai · its alternatives →
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Fast and efficient text recognition from any image and PDF
2019 · apps.microsoft.com · its alternatives →
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Nanonets OCR▲197Intelligent text extraction using OCR and deep learning
2019 · case-study-page-nanonets.webflow.io · its alternatives →
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🔍 Better text detection by combining multiple OCR engines (EasyOCR, Tesseract, and Pororo) with 🧠 LLM. - junhoyeo/BetterOCR
2023 · github.com · its alternatives →
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Get any text on your screen into your clipboard. Contribute to schappim/macOCR development by creating an account on GitHub.
2021 · github.com · its alternatives →
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A Python wrapper for the tesseract-ocr API. Contribute to sirfz/tesserocr development by creating an account on GitHub.
2016 · github.com · its alternatives →
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Koncile ▲251Customisable OCR for all your data extraction needs
2024 · koncile.ai · its alternatives →
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Vision models have been gaining popularity as a replacement for traditional OCR. Especially with Gemini 2.0 becoming cost competitive with the cloud platforms. We've been continuously evaluating different models since we released the Zerox package last year (https://github.com/getomni-ai/zerox). And we wanted to put some numbers behind it. So we’re open sourcing our internal OCR benchmark + evaluation datasets. Full writeup + data explorer here: https://getomni.ai/ocr-benchmark Github: https://github.com/getomni-ai/benchmark Huggingface:…
2025 · getomni.ai · its alternatives →
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Hi HN: Recently I developed a simple OCR tool. The basic idea is that it can be used as a framework to help developers building and deploying their own OCR solutions. I hope it will be useful to you.
2025 · github.com · its alternatives →
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Last week was big for open source LLMs. We got: - Qwen 2.5 VL (72b and 32b) - Gemma-3 (27b) - DeepSeek-v3-0324 And a couple weeks ago we got the new mistral-ocr model. We updated our OCR benchmark to include the new models. We evaluated 1,000 documents for JSON extraction accuracy. Major takeaways: - Qwen 2.5 VL (72b and 32b) are by far the most impressive. Both landed right around 75% accuracy (equivalent to GPT-4o’s performance). Qwen 72b was only 0.4% above 32b. Within the margin of error. - Both Qwen models passed mistral-ocr (72.2%), which is specifically trained for OCR. - Gemma-3…
2025 · github.com · its alternatives →
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OCR AI▲10Automatic document validation and comparison with OCR and AI
2025 · aiocr.org · its alternatives →
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:camera: Computer-Vision Demos. Contribute to brakmic/OpenCV development by creating an account on GitHub.
2016 · github.com · its alternatives →
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Keras code and weights files for popular deep learning models. - fchollet/deep-learning-models
2016 · github.com · its alternatives →
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Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral
2019 · github.com · its alternatives →
Also compare
- OCR pipeline for ML training (tables, diagrams, math, multilingual) alternatives
- DeepSeek-OCR alternatives
- Mistral OCR alternatives
- Neural network optical character recognition alternatives
- Tesseract.js – Pure JavaScript OCR for 60 Languages alternatives
- OCR Arena – A playground for OCR models alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →