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last week we open sourced: anydoc: parse 14 document formats, ~5ms per page pdf-inspector: parses + classifies pdfs, no waiting on OCR 14k stars each, built in rust. now powering Firecrawl /parse, which adds OCR for the hard ones what should we open source next?

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Nicolas Camara

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101,602 görüntüleme • 2 ay önce •via X (Twitter)

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introducing anydoc now your agents get 100x faster local parsing for pdf, docx, pptx & 10 more formats - sub-5ms md conversion - 500 docx files in 1.7s - top quality across all 13 formats - rust-based - open source already powering Firecrawl /parse
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introducing anydoc now your agents get 100x faster local parsing for pdf, docx, pptx & 10 more formats - sub-5ms md conversion - 500 docx files in 1.7s - top quality across all 13 formats - rust-based - open source already powering Firecrawl /parse

Nicolas Camara

2,551,467 görüntüleme • 3 ay önce

China open-sourced a peanut-sized OCR that parses entire 100-page PDFs in one shot.. It's called Unlimited-OCR. Only 3B params. Runs locally. Every other OCR tool chops your doc into pages and loses the thread. this one reads the whole thing in a single pass. → One-shot "long-horizon" parsing (32K context window) → Multilingual, out of the box → 93% on the standard parsing benchmark (+6 over baseline) → <0.11 error rate past 40 pages → Runs 100% locally on your own hardware → Works with Transformers, vLLM, SGLang, Docker, Ollama, llama.cpp Traditional cloud OCR (Textract, Google Vision, Azure Doc Intelligence) costs $1.50–$15 per 1,000 pages. This runs on your machine. For free. Forever. Baidu built it explicitly to push DeepSeek-OCR one step further. Already at 1.9M downloads on Hugging Face and most people have no idea it exists yet. 100% open source.
0:13

China open-sourced a peanut-sized OCR that parses entire 100-page PDFs in one shot.. It's called Unlimited-OCR. Only 3B params. Runs locally. Every other OCR tool chops your doc into pages and loses the thread. this one reads the whole thing in a single pass. → One-shot "long-horizon" parsing (32K context window) → Multilingual, out of the box → 93% on the standard parsing benchmark (+6 over baseline) → <0.11 error rate past 40 pages → Runs 100% locally on your own hardware → Works with Transformers, vLLM, SGLang, Docker, Ollama, llama.cpp Traditional cloud OCR (Textract, Google Vision, Azure Doc Intelligence) costs $1.50–$15 per 1,000 pages. This runs on your machine. For free. Forever. Baidu built it explicitly to push DeepSeek-OCR one step further. Already at 1.9M downloads on Hugging Face and most people have no idea it exists yet. 100% open source.

Superman

1,112,878 görüntüleme • 3 ay önce

ByteDance just dropped an OCR model that reads documents just like humans. This 0.3B model analyzes page layout first, then parses elements in parallel. 100% open-source.
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ByteDance just dropped an OCR model that reads documents just like humans. This 0.3B model analyzes page layout first, then parses elements in parallel. 100% open-source.

Unwind AI

101,156 görüntüleme • 1 yıl önce

Announcing llama-ocr – a free + open source OCR tool! It takes documents (images for now) & outputs markdown, and does really well for complex receipts, PDFs with tables/charts, ect... Powered by Llama 3.2 vision on Together AI & available on npm today!
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Announcing llama-ocr – a free + open source OCR tool! It takes documents (images for now) & outputs markdown, and does really well for complex receipts, PDFs with tables/charts, ect... Powered by Llama 3.2 vision on Together AI & available on npm today!

Hassan

444,293 görüntüleme • 2 yıl önce

Doc-OCR router using Jev TypeSafe AI A Jev-powered router that looks at a PDF page by page, decides which pages actually need OCR, extracts the rest locally. Result: save cost on # OCR pages + speed
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Doc-OCR router using Jev TypeSafe AI A Jev-powered router that looks at a PDF page by page, decides which pages actually need OCR, extracts the rest locally. Result: save cost on # OCR pages + speed

Misbah Syed

27,028 görüntüleme • 1 ay önce

We're launching 5x faster document parsing in the Firecrawl MCP. Use /parse to turn PDFs, spreadsheets, and docs into LLM-ready data for your agents. Supports running locally or with our hosted MCP server. Try it out today with no API key required on our free tier!
0:18

We're launching 5x faster document parsing in the Firecrawl MCP. Use /parse to turn PDFs, spreadsheets, and docs into LLM-ready data for your agents. Supports running locally or with our hosted MCP server. Try it out today with no API key required on our free tier!

Firecrawl

47,432 görüntüleme • 4 ay önce

🚨 CHINA JUST OPEN SOURCED AN OCR THAT EATS 100 PAGE PDFS IN ONE PASS It’s called Unlimited OCR. Only 3B params. Runs locally. Every other OCR tool chops your doc into pages and loses the thread. This one reads the whole thing in one continuous pass. → One shot full context parsing (32K context window) → Multilingual out of the box → 93% on the standard parsing benchmark (6 points over baseline) → Under 0.11 error rate past 40 pages → Runs 100% locally on your own hardware → Works with Transformers, vLLM, SGLang, Docker, Ollama, llama.cpp Traditional cloud OCR (Textract, Google Vision, Azure Doc Intelligence) costs $1.50 to $15 per 1,000 pages. This runs on your machine. For free. Forever. Baidu built it explicitly to push DeepSeek OCR one step further. Already at 1.9M downloads on Hugging Face and most people have no idea it exists yet. 100% open source.
0:13

🚨 CHINA JUST OPEN SOURCED AN OCR THAT EATS 100 PAGE PDFS IN ONE PASS It’s called Unlimited OCR. Only 3B params. Runs locally. Every other OCR tool chops your doc into pages and loses the thread. This one reads the whole thing in one continuous pass. → One shot full context parsing (32K context window) → Multilingual out of the box → 93% on the standard parsing benchmark (6 points over baseline) → Under 0.11 error rate past 40 pages → Runs 100% locally on your own hardware → Works with Transformers, vLLM, SGLang, Docker, Ollama, llama.cpp Traditional cloud OCR (Textract, Google Vision, Azure Doc Intelligence) costs $1.50 to $15 per 1,000 pages. This runs on your machine. For free. Forever. Baidu built it explicitly to push DeepSeek OCR one step further. Already at 1.9M downloads on Hugging Face and most people have no idea it exists yet. 100% open source.

Brooks Whale X 🐋

498,730 görüntüleme • 29 gün önce

Unlimited-OCR is a 3B parameter model that parses entire 100-page PDFs in one shot — no page chunking, no lost context. +⁠32K context window, reads the whole document in a single pass +⁠93% on standard parsing benchmarks, +6 over baseline +⁠Under 0.11 error rate past page 40 — where every other OCR tool falls apart ⁠+Multilingual out of the box, runs locally via Transformers, Ollama, llama.cpp, Docker +⁠Textract, Google Vision, and Azure Doc Intelligence charge $1.50–$15 per 1,000 pages 1.9M downloads on HuggingFace and most people have never heard of it. This runs on your machine. For free. Forever. Model link:
0:13

Unlimited-OCR is a 3B parameter model that parses entire 100-page PDFs in one shot — no page chunking, no lost context. +⁠32K context window, reads the whole document in a single pass +⁠93% on standard parsing benchmarks, +6 over baseline +⁠Under 0.11 error rate past page 40 — where every other OCR tool falls apart ⁠+Multilingual out of the box, runs locally via Transformers, Ollama, llama.cpp, Docker +⁠Textract, Google Vision, and Azure Doc Intelligence charge $1.50–$15 per 1,000 pages 1.9M downloads on HuggingFace and most people have never heard of it. This runs on your machine. For free. Forever. Model link:

0xMarioNawfal

84,661 görüntüleme • 3 ay önce

Introducing our /parse endpoint 🔥 Convert any document into clean data for AI agents via API. - Turn PDF, DOCX, and XLSX files into Markdown or JSON - Preserves reading order and tables - Zero Data Retention support All powered by our 5x faster Rust-based parser.
0:14

Introducing our /parse endpoint 🔥 Convert any document into clean data for AI agents via API. - Turn PDF, DOCX, and XLSX files into Markdown or JSON - Preserves reading order and tables - Zero Data Retention support All powered by our 5x faster Rust-based parser.

Firecrawl

150,043 görüntüleme • 6 ay önce

Moondream 3 can parse complex parking signs in one step. Prompt: "extract sign details" → JSON of each rule + transcription. No OCR stack, no regex: just vision that understands structure. ⚡️Fast, cheap, grounded vision AI.
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Moondream 3 can parse complex parking signs in one step. Prompt: "extract sign details" → JSON of each rule + transcription. No OCR stack, no regex: just vision that understands structure. ⚡️Fast, cheap, grounded vision AI.

moondream

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Use Qwen Code to parse the PDF document into markdown content, and then translate it. Follow us for more AI tips and updates!
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Use Qwen Code to parse the PDF document into markdown content, and then translate it. Follow us for more AI tips and updates!

Alibaba Cloud

86,653 görüntüleme • 10 ay önce

Built a tax document classifier with Jev. We ingest thousands of tax documents using an LLM pipeline I built last tax season. I read multiple articles as late as April this year claiming AI fails at tax document classification. Wasn't the case back then, and it's proved wrong again now. Jev classifies 100% of our tax document corpus at $0.001 per page. 34x cheaper and 6x faster than the LLM setup. Open sourcing it:
0:12

Built a tax document classifier with Jev. We ingest thousands of tax documents using an LLM pipeline I built last tax season. I read multiple articles as late as April this year claiming AI fails at tax document classification. Wasn't the case back then, and it's proved wrong again now. Jev classifies 100% of our tax document corpus at $0.001 per page. 34x cheaper and 6x faster than the LLM setup. Open sourcing it:

Nakshatra Saxena

247,814 görüntüleme • 1 ay önce

Everyone is sleeping on this new OCR model! Datalab's Chandra topped independent benchmarks and beat the previous best dots-ocr. - Supports 40+ languages - Extracts complex texts, tables, formulas easily I tested on Ramanujan's handwritten letter from 1913. 100% open-source.
0:11

Everyone is sleeping on this new OCR model! Datalab's Chandra topped independent benchmarks and beat the previous best dots-ocr. - Supports 40+ languages - Extracts complex texts, tables, formulas easily I tested on Ramanujan's handwritten letter from 1913. 100% open-source.

Avi Chawla

158,734 görüntüleme • 10 ay önce

A guy built a Pirate Bay for AI models. - Open-source and leaked AI models. - Models for coding, search, and translation. - AI agents ready to download. - OCR models for photos and documents. - Runs locally, no cloud, no subscriptions. -
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A guy built a Pirate Bay for AI models. - Open-source and leaked AI models. - Models for coding, search, and translation. - AI agents ready to download. - OCR models for photos and documents. - Runs locally, no cloud, no subscriptions. -

Md Ismail Šojal 🕷️

24,280 görüntüleme • 3 ay önce

We built open-source smart glasses with 6 times the battery of Meta Ray-Bans Save the post, open-sourcing everything in the next 10 hours
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We built open-source smart glasses with 6 times the battery of Meta Ray-Bans Save the post, open-sourcing everything in the next 10 hours

Nik Shevchenko

140,754 görüntüleme • 1 yıl önce

VLMs can be surprisingly accurate and token-efficient on the right tasks. In a bake-off between VLM-based document classification vs. OCR-based classification using our new TypeSafe AI-compatible SystemOne API, we're seeing over ~7x token-efficiency! VLM: 372 tokens/page, fixed. OCR->Text: 2,002 median, 19,159 on the worst page.
0:15

VLMs can be surprisingly accurate and token-efficient on the right tasks. In a bake-off between VLM-based document classification vs. OCR-based classification using our new TypeSafe AI-compatible SystemOne API, we're seeing over ~7x token-efficiency! VLM: 372 tokens/page, fixed. OCR->Text: 2,002 median, 19,159 on the worst page.

Sudeep Pillai

10,887 görüntüleme • 1 ay önce

It's wild what we're capable of with OCR now 🤯 Digitizing them unlocks the power of AI (and more!) for the insanely large corpus of Non-English PDFs Stay tuned for more :)
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It's wild what we're capable of with OCR now 🤯 Digitizing them unlocks the power of AI (and more!) for the insanely large corpus of Non-English PDFs Stay tuned for more :)

Shahrukh Raza

10,737 görüntüleme • 1 yıl önce

We implemented Kimi K3's native harness in Rust. Now, Interpreter is the #1 trending Rust repo in the world. Apache licensed, ACP + Codex SDK compatible — a CLI for the next generation of open models.
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We implemented Kimi K3's native harness in Rust. Now, Interpreter is the #1 trending Rust repo in the world. Apache licensed, ACP + Codex SDK compatible — a CLI for the next generation of open models.

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Behind every block on IoTeX, there's a builder. iotex-core, the Go engine powering Real-World AI, is 100% open source. The community keeps showing up: -120+ open-source contributors -3,500+ pull requests -100+ releases The infrastructure for Real-World AI, built in the open👇
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Behind every block on IoTeX, there's a builder. iotex-core, the Go engine powering Real-World AI, is 100% open source. The community keeps showing up: -120+ open-source contributors -3,500+ pull requests -100+ releases The infrastructure for Real-World AI, built in the open👇

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