AI · alternatives · 2026
24 alternatives to 100OCRAPI
Hi everyone, For the past few months, I've been working on this project: an OCR API for ID cards. I think it's finally at a point where I'd love to get some feedback from the HN community. My main focus has been on reliability, especially for "edge-case" documents that often break other systems. I spent a lot of time specifically on Brazilian IDs to prove the model could handle high variance. This is still very much a work in progress, and I know there's a lot to improve. Your feedback would be invaluable in helping me figure out what to build next. You can try it out here (I've set up a…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
Mistral OCR▲592Introducing the world’s best document understanding API
2025 · mistral.ai · its alternatives →
- 2
DeepSeek-OCR▲350Advanced visual-text compression technology
2025 · huggingface.co · its alternatives →
- 3
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 →
- 4
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 →
- 5AI
Hello HN! In a recent "Ask HN: What are you working on?" thread, I mentioned I was working on OCRing a large book: https://news.ycombinator.com/item?id=41971614 The post generated some interest so I thought I would keep HN posted. The book is Saint-Simon’s Memoirs -- an invaluable historical account of the French court under Louis XIV, full of wit, sharp observations, and of incredible literary value. I'm OCRing the edition of reference made between 1879-1930, that contains a lot of comments and footnotes: 45 volumes, ~27,000 pages. Here's a link to a blog post that describes…
2024 · blog.medusis.com · its alternatives →
- 6
Infrrd OCR▲118Extract data from invoices and receipts with AI based OCR
2018 · infrrd.ai · its alternatives →
- 7BV
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 →
- 8
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 →
- 9
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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- 11
Design tailored document processing APIs, deploy in minutes
2024 · mindee.com · its alternatives →
- 12
OCR AI▲10Automatic document validation and comparison with OCR and AI
2025 · aiocr.org · its alternatives →
- 13
Invoice OCR▲111OCR Software & API for realtime data extraction from Invoice
2023 · mastersindia.co · its alternatives →
- 14
PassportReader▲118Allow users to verify their identity instantly by tapping their ID or passport. Integrate by using our apps, or iOS/Android SDK if you have an app of your own.
Apr 2026 · passportreader.app · its alternatives →
- 15
ReceiptUp▲94Transform your receipt management with our advanced OCR API
2024 · receiptup.com · its alternatives →
- 16
📄 PDF/IMG ->.MD/JSON Document OCR API for PaddleOCR and GLMOCR. Self-hostable. - majcheradam/ocrbase
Jan 2026 · github.com · its alternatives →
- 17
A Python wrapper for the tesseract-ocr API. Contribute to sirfz/tesserocr development by creating an account on GitHub.
2016 · github.com · its alternatives →
- 18
Secure on-device extraction even if you're offline
2018 · veryfi.com · its alternatives →
- 19
I've been disappointed by the very poor quality of results that I generally get when trying to run OCR on older scanned documents, especially ones that are typewritten or otherwise have unusual or irregular typography. I recently had the idea of using Llama2 to use common sense reasoning and subject level expertise to correct transcription errors in a "smart" way-- basically doing what a human proofreader who is familiar with the topic might do. I came up with the linked script that takes a PDF as input, runs Tesseract on it to get an initial text extraction, and then feeds this…
2023 · github.com · its alternatives →
- 20
End-to-end document automation platform with AI-powered OCR for 40+ document types. Automate invoice processing, receipt parsing, and more with human-in-the-loop review and ERP integrations.
2024 · visionparser.com · its alternatives →
- 21
Hey, just a work related project I made, which could be open sourced :D If you're looking for an example on how to use/fine-tune yolov8, I feel like taking a look at this repo and reading the README could help you get up to speed (also linked some nice refs)! This is actually a full rewrite of a proprietary project I made (and documented on my site) like a year ago, will do some finishing touches (write blog post about it, mark the old version deprecated, record a tutorial on how to set it up on an Ubuntu server, etc, etc) in the following month, but felt like sharing it now, cuz I…
2023 · github.com · its alternatives →
- 22
🔍 Better text detection by combining multiple OCR engines (EasyOCR, Tesseract, and Pororo) with 🧠 LLM. - junhoyeo/BetterOCR
2023 · github.com · its alternatives →
- 23
Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
2024 · github.com · its alternatives →
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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 →