DocDot @docdotai

Run multiple parsers locally, compare & switch instantly, and get high-quality output for agent Q&A curl -fsSL https://t.co/p087zV1Fdg | bash docdot.ai Joined July 2026

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DocDot @docdotai

4 weeks ago

Docling is now available in DocDot. Install it with one command, run it locally on your Mac, and compare its output side by side with PaddleOCR, MinerU, GLM-OCR, and LiteParse. ⌨️ 🔽 curl -fsSL docdot.ai/install.sh | bash docdot install docling #docling #ocr #pdfparser

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DocDot @docdotai

2 months ago

@yoeven @NielsRogge You can use DocDot to run & compare different OCR models locally with one CLI., and install the skills into agents Currently we supports models like NanoDoc, PaddleOCR, GLM-OCR, MinerU and will keep adding more! curl -fsSL docdot.ai/install.sh | bash

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DocDot @docdotai

2 months ago

Install & run all PDF 100% locally with : curl -fsSL docdot.ai/install.sh | bash

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divyansh tiwari @DivyanshT91162

3 months ago

One thing I really like is the local-first approach. Testing different PDF parsers usually means switching between tools or APIs. Having multiple options in one place and comparing their outputs side by side makes it much easier to pick the right parser for your workflow. If you're building AI agents or document automation, this is definitely worth checking out. Congrats on the Product Hunt launch! 🚀

DocDot @docdotai

3 months ago

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DocDot @docdotai

3 months ago

🚀 DocDot is LIVE on Product Hunt! Would love your support and feedback 🫶🏻producthunt.com/products/docdo…

José Siles | AI | Data @josesilesdata

3 months ago

👋🏼ADIÓS A CAMBIAR CONSTANTEMENTE DE HERRAMIENTAS PARA PARSEAR PDFs! @docdotai es el mejor PDFParser ahora mismo! Es completamente GRATIS. Te permite utilizar herramientas OCR como: - glmocr - liteparse - mineru - nanodoc - paddleocr Todo en UNO! - Generación de .md a través

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DocDot @docdotai

3 months ago

We benchmarked every major open source parser on M5 Apple Silicon across 4,000+ real document pages. Our in-house engine, NanoDoc, runs directly on the Apple Neural Engine instead of overloading the GPU: • 9.25 FPS throughput on standard PDFs • Under 1.8 GB RAM footprint • Top scores in Overall Quality (83.66) and Table TEDS (83.19) While heavy open-source models consume 11–14 GB of RAM at under 0.5 FPS, NanoDoc delivers high precision at multi-FPS speeds.

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DocDot @docdotai

3 months ago

🚀DocDot is live on Product Hunt today! It's the easiest way to run top PDF Parsers locally on your Mac. 1 line install, 100% local. Use NanoDoc / PaddleOCR / GLM-OCR / MinerU / LiteParse, compare outputs side by side, switch parsers instantly, and keep the same quality as the original cloud services. If you work with PDFs for agent workflows, this is for you! Check us out & leave a comment to let us know what you think: linkly.link/2pOfW