Dev tools · alternatives · 2026
24 alternatives to tesserocr – A Python wrapper for the tesseract-ocr API
A Python wrapper for the tesseract-ocr API. Contribute to sirfz/tesserocr development by creating an account on GitHub.
Tesserocr is a Python wrapper for the Tesseract optical character recognition engine. It allows developers to integrate OCR capabilities into Python applications by providing programmatic access to Tesseract's text… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. tesserocr – A Python wrapper for the tesseract-ocr API launched in 2016; newer entries below may have overtaken it.
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Pure Javascript OCR for more than 100 Languages 📖🎉🖥 - naptha/tesseract.js
2016 · 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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Mistral OCR▲592Introducing the world’s best document understanding API
2025 · mistral.ai · 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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Tesseract is one of the largest Open Source OCR (Optical Character Recognition) projects. There is already a Go library for using Tesseract from Go with CGo, called Gosseract. However if you are interested in OCR from Go without C complicating building and cross-compiling, there aren't any other options. Wazero is a Go WASM runtime that doesn't have any CGo dependencies. With Emscripten Tesseract has been compiled to WASM and ran within Wazero. Gogosseract provides a simple API on top of this. This project has been an interesting delve into the world of WASM.
2023 · github.com · its alternatives →
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Built this because people working with large document sets had no free tool that handled batch processing cleanly. Tesseract is free and runs locally. For anything that needs more accuracy — Google Vision, Gemini, or any OpenRouter model — you bring your own API key. No subscription, no markup on your usage. Export as TXT, JSON, XML or PDF. AI engines support custom prompts so you can translate, extract form fields, or get structured output in one step. App: https://onlineocrfree.qzz.io Source: https://github.com/naimurhasan/online-ocr-free
Mar 2026 · onlineocrfree.qzz.io · its alternatives →
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DeepSeek-OCR▲350Advanced visual-text compression technology
2025 · huggingface.co · its alternatives →
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Simple app to extract text from pictures using Tesseract - victorqribeiro/ocr
2019 · github.com · its alternatives →
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Tesseract Core is a command line app + Python SDK that lets scientists and engineers wrap complex scientific and machine learning code into containerized, self-documenting, differentiable functions—making them easier to use, compose, serve, share, and deploy. Its main use case is to build end-to-end differentiable pipelines consisting of wildly different components like physical simulators, geometric operators like differentiable meshers / renderers, generic data transforms, and neural networks. Just installing these heterogeneous components can be a challenge for scientists who simply…
2025 · github.com · its alternatives →
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I've developed a Python API service that uses GPT-4o for OCR on PDFs. It features parallel processing and batch handling for improved performance. Not only does it convert PDF to markdown, but it also describes the images within the PDF using captions like `[Image: This picture shows 4 people waving]`. In testing with NASA's Apollo 17 flight documents, it successfully converted complex, multi-oriented pages into well-structured Markdown. The project is open-source and available on GitHub. Feedback is welcome.
2024 · 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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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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I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…
Apr 2026 · github.com · its alternatives →
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Hey HN, we’re Adi and Arnav. A few months ago, we hit a wall trying to get LLMs to answer questions over research papers and instruction manuals. Everything worked fine, until the answer lived inside an image or diagram embedded in the PDF. Even GPT‑4o flubbed it (we recently tried O3 with the same, and surprisingly it flubbed it too). Naive RAG pipelines just pulled in some text chunks and ignored the rest. We took an invention disclosure PDF (https://drive.google.com/file/d/1ySzQgbNZkC5dPLtE3pnnVL2rW_9...) containing an IRR‑vs‑frequency graph and asked GPT “From…
2025 · github.com · its alternatives →
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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 →
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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 Tool▲7Quickly extract text from images & PDFs with Python OCR
2025 · mjpourk.gumroad.com · its alternatives →
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Infrrd OCR▲118Extract data from invoices and receipts with AI based OCR
2018 · infrrd.ai · its alternatives →
Also compare
- Tesseract.js – Pure JavaScript OCR for 60 Languages alternatives
- LLM-aided OCR – Correcting Tesseract OCR errors with LLMs alternatives
- Mistral OCR alternatives
- BetterOCR combines and corrects multiple OCR engines with an LLM alternatives
- Gogosseract, a Go Lib for CGo-Free Tesseract OCR via Wazero alternatives
- Online OCR Free – Batch OCR UI for Tesseract, Gemini and OpenRouter 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 →