Dev tools · alternatives · 2026
24 alternatives to GLM-OCR
GLM-OCR: An online OCR focused on document structure
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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📄 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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Mistral OCR▲592Introducing the world’s best document understanding API
2025 · mistral.ai · its alternatives →
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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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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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Invoice OCR▲111OCR Software & API for realtime data extraction from Invoice
2023 · mastersindia.co · 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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Fast and efficient text recognition from any image and PDF
2019 · apps.microsoft.com · its alternatives →
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GLM-OCR▲7SOTA document parsing & OCR in just 0.9B parameters
Feb 2026 · ocr.z.ai · 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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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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Revenue agents for high-growth companies
2025 · trycardinal.ai · its alternatives →
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aOCR▲14API for converting complex documents into structured data
Jan 2026 · aocr.in · 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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Kaizen OCR▲31Fully offline OCR with 100+ languages support. Full Privacy
2025 · kaizen-apps.com · its alternatives →
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PDF OCR CLI▲12A tool that transforms scanned images into documents
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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In modern document question answering (QA) systems, Optical Character Recognition (OCR) serves an important role by converting PDF pages into text that can be processed by Large Language Models (LLMs). The resulting text can provide contextual input that enables LLMs to perform question answering over document content. Traditional OCR systems typically use a two-stage process that first detects the layout of a PDF — dividing it into text, tables, and images — and then recognizes and converts these elements into plain text. With the rise of vision-language models (VLMs) (such as Qwen-VL and…
Oct 2025 · 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 →