AI · alternatives · 2026
24 alternatives to OCR pipeline for ML training (tables, diagrams, math, multilingual)
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…
OCR Pipeline for ML Training is a tool that extracts text, tables, diagrams, and mathematical formulas from academic documents and converts them into structured formats like JSON and Markdown. It uses multiple OCR… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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DeepSeek-OCR▲350Advanced visual-text compression technology
2025 · huggingface.co · 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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a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
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Almost exactly 1 year ago, I submitted something to HN about using Llama2 (which had just come out) to improve the output of Tesseract OCR by correcting obvious OCR errors [0]. That was exciting at the time because OpenAI's API calls were still quite expensive for GPT4, and the cost of running it on a book-length PDF would just be prohibitive. In contrast, you could run Llama2 locally on a machine with just a CPU, and it would be extremely slow, but "free" if you had a spare machine lying around. Well, it's amazing how things have changed since then. Not only have models gotten a lot better,…
2024 · github.com · its alternatives →
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This started out as a weekend hack with gpt-4-mini, using the very basic strategy of "just ask the ai to ocr the document". But this turned out to be better performing than our current implementation of Unstructured/Textract. At pretty much the same cost. I've tested almost every variant of document OCR over the past year, especially trying things like table / chart extraction. I've found the rules based extraction has always been lacking. Documents are meant to be a visual representation after all. With weird layouts, tables, charts, etc. Using a vision model just make sense! In…
2024 · 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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A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model. - faustomorales/keras-ocr
2019 · github.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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Infrrd OCR▲118Extract data from invoices and receipts with AI based OCR
2018 · infrrd.ai · its alternatives →
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Image Pipeline▲143Multi Model Stable Diffusion Pipelines
2023 · imagepipeline.io · its alternatives →
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The easy way to turn text into structure data
2021 · getmarkup.com · 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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📄 PDF/IMG ->.MD/JSON Document OCR API for PaddleOCR and GLMOCR. Self-hostable. - majcheradam/ocrbase
Jan 2026 · github.com · its alternatives →
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Hey everyone, ML Blocks is a node-based workflow builder to create multi-modal AI workflows without writing any code. You connect blocks that call various visual models like GPT4v, Segment Anything, Dino etc. along with basic image processing blocks like resize, invert color, blur, crop, and several others. The idea is to make it easier to deploy multi-step image processing workflows, without needing to spin up endless custom OpenCV cloud functions to glue together AI models. Usually, even if you're using cloud inference servers like Replicate, you still need to write your own image…
2024 · mlblocks.com · its alternatives →
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Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
2023 · github.com · its alternatives →
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Instill VDP▲130Open source unstructured data ETL for AI first applications
2024 · instill-ai.com · its alternatives →
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OCR/Document extraction field has seen lot of action recently with releases like Mixtral OCR, Andrew Ng's agentic document processing etc. Also there are several benchmarks for OCR, however all testing for something slightly different which make good comparison of models very hard. To give an example, some models like mixtral-ocr only try to convert a document to markdown format. You have to use another LLM on top of it to get the final result. Some VLM’s directly give structured information like key fields from documents like invoices, but you have to either add business rules on top…
2025 · nanonets.com · 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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A graph-based functional API for building complex scikit-learn pipelines. - alegonz/baikal
2020 · github.com · its alternatives →
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Invoice OCR▲111OCR Software & API for realtime data extraction from Invoice
2023 · mastersindia.co · 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 →
Also compare
- DeepSeek-OCR alternatives
- DeepSeek-VL2 alternatives
- Tesseract.js – Pure JavaScript OCR for 60 Languages alternatives
- OCR Arena – A playground for OCR models alternatives
- Igel – A CLI tool to run machine learning without writing code alternatives
- LLM-aided OCR – Correcting Tesseract OCR errors with LLMs 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 →