pdf-processing

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#pdf-processing

@0xGky: An Agent Skill that makes reading PDFs addictive — learn-from-materials turns hundreds of pages of material into an interactive learning website. Feed it PDFs, EPUBs, Word docs, PPTs, or web pages — it first reads through all the material, builds a knowledge base, and then generates learning pages. Most importantly…

X AI KOLs Timeline ↗ · 5d ago Cached

An introduction to the open-source Agent Skill "learn-from-materials," which converts hundreds of pages of material — PDF, EPUB, Word, PPT, web pages, and more — into an interactive learning website and knowledge base, with citation tracing precise down to page numbers and chapter sections. Compatible with environments like Claude Code, Codex, and Copilot CLI.

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#pdf-processing

Whats the best open source OCR for batch processing pdfs in 2026?

Reddit r/LocalLLaMA ↗ · 6d ago

A practitioner asks the community which open-source OCR stack is best for fully local batch processing of 20-25 page mixed-content PDFs, shortlisting tools like Docling, GLM-OCR, PaddleOCR-VL, OlmOCR 2, and MinerU while weighing VLMs against text-layer parsers for tables and scanned pages.

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#pdf-processing

@FinanceYF5: The Claude API has increased the per-request size limit for Messages and Token Counting from 32MB to 128MB, roughly quadrupling capacity. Previously, requests containing large numbers of images, such as long Computer Use sessions and large PDFs, would often…

X AI KOLs Timeline ↗ · 2026-11-01 Cached

The Claude API has increased the per-request size limit for Messages and Token Counting from 32MB to 128MB, roughly a fourfold increase, to support tasks such as long conversations containing many images and large PDFs.

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#pdf-processing

A chunking lib in Rust that is ~20x faster [P]

Reddit r/MachineLearning ↗ · 2026-10-05

A Rust-based text chunking library claiming ~20x speedups over LangChain, LlamaIndex, and similar Python solutions, with multiple chunking strategies, a native PDF loader, and parallel batch processing. Benchmark tables show Recursive chunking at ~2,264 MB/s and end-to-end PDF pipelines ~15x faster than pypdf-based baselines.

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#pdf-processing

@x5cnhp: Spending hundreds of pages gnawing through PDFs until your wrist aches? This kind of work can actually be completely ha…

X AI KOLs Timeline ↗ · 2026-09-27 Cached

Datalab's Marker v2 is an open-source document parsing tool that handles PDFs, images, DOCX, and PPTX, outputting clean Markdown and supporting over 90 languages for batch organization, knowledge bases, and AI document processing.

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#pdf-processing

@doodlestein: Antigravity with Gemini 3.8 Flash is really good at finding relevant PDFs on the web and organizing them into a corpus.…

X AI KOLs Timeline ↗ · 2026-09-26 Cached

The post highlights the use of Antigravity with Gemini 3.8 Flash for finding and organizing PDFs into a corpus, and mentions a Claude Code skill for bulk-converting PDFs to markdown to reduce costs.

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#pdf-processing

@jerryjliu0: DocJev is the fastest way to classify and split complex document packets . (and the default is fully free and OSS!) I m…

X AI KOLs Timeline ↗ · 2026-09-22 Cached

DocJev is a free, open-source Python tool for classifying and splitting complex document packets, supporting PDF, DOCX, and PPTX with optional OCR.

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#pdf-processing

@GYLQ520: PixelRAG is an open-source project from UC Berkeley SkyLab and other teams, ready to play. Its approach is straightforward, no longer relying on HTML or text parsing. Instead, it directly captures web pages and PDFs as screenshots and uses visual indexing for RAG retrieval. Everything that HTML parsing loses, such as tables, charts, and layouts, is preserved…

X AI KOLs Timeline ↗ · 2026-08-21 Cached

PixelRAG is an open-source project from UC Berkeley SkyLab and other teams. By capturing web pages and PDFs as screenshots and using visual indexing for retrieval, it improves RAG accuracy and significantly reduces token costs for AI Agents.

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#pdf-processing

@googledevs: Static PDF interactive web app, all in one prompt! We used Gemini 3.7 Flash in @GoogleAIStudio to transform a dense PDF…

X AI KOLs Timeline ↗ · 2026-08-18 Cached

Google Developers showcased using Gemini 3.7 Flash in Google AI Studio to transform a PDF annual report into an interactive web app, highlighting the model's data extraction and UI generation capabilities in a single prompt.

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#pdf-processing

@googleaidevs: We fed Gemini 3.7 Flash hundreds of PDFs from a Victorian book of botanical illustrations and tasked it with extracting…

X AI KOLs Timeline ↗ · 2026-08-17 Cached

Google AI Devs demonstrated Gemini 3.7 Flash by using it to extract and classify plants from historical botanical PDFs with an interactive visualization.

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#pdf-processing

@sunmer575399: Stirling-PDF really has automation figured out — 89.0k stars, no joke. 50+ PDF tools packed into one open-source platform: merge, split, compress, OCR, watermarks — basically covers all everyday needs. The killer feature is the automation pipeline: drag and drop nodes to batch-process PDFs without writing a single...

X AI KOLs Timeline ↗ · 2026-08-08 Cached

Stirling-PDF is an open-source PDF processing platform offering 50+ tools (merge, split, OCR, compression, etc.), supporting browser use, Docker self-hosting, and a REST API, as well as a no-code automation pipeline. The project has 89k+ stars on GitHub and can be fully deployed locally to protect privacy.

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#pdf-processing

@sitinme: Not just "have AI summarize a book", but go further: turning a book or a document package into a Skill that an AI Agent can repeatedly call. This idea is worth discussing. Previously, after buying and reading a book, when I later wanted to find a certain knowledge point, I couldn't find it after flipping through for a long time; asking AI might make things up; throwing the entire PD…

X AI KOLs Timeline ↗ · 2026-06-05 Cached

Introduces a tool called book-to-skill that converts books or document packages into AI Agent callable Skills. It supports PDF and other formats, generates SKILL.md and chapter indexes, avoiding loading the full context at once.

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#pdf-processing

Vision-capable LLMs vs. OCR for long-document (including charts, images, tables, etc.) QA

Reddit r/artificial ↗ · 2026-05-24

A benchmark comparing vision-capable LLMs (native PDF reading) against OCR-based pipelines on 30 long, image-heavy PDFs finds that OCR with layout extraction still outperforms vision models on chart/table-heavy pages and has a 0% failure rate vs. 7% for native PDF, though the sample size is small and many gaps are within noise.

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#pdf-processing

@wsl8297: If you have a bunch of PDFs, documents, project materials to feed to AI, Synthadoc is a direction worth looking at. GitHub: https://github.com/axoviq-ai/synthadoc… It compiles raw materials into a structured wiki at ingestion time, automatically...

X AI KOLs Timeline ↗ · 2026-05-23 Cached

Synthadoc is an open-source tool that compiles PDFs, documents, and other project materials into a structured local Markdown wiki, automatically establishing cross-references and detecting contradictions. It is suitable for personal or small teams for offline knowledge management.

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#pdf-processing

@tom_doerr: Turns technical books into Claude Code skills https://github.com/virgiliojr94/book-to-skill…

X AI KOLs Timeline ↗ · 2026-05-22 Cached

book-to-skill converts technical books into structured skills for Claude Code, allowing on-demand reference and eliminating hallucination.

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#pdf-processing

olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models

Papers with Code Trending ↗ · 2025-02-25 Cached

olmOCR is an open-source toolkit using a fine-tuned vision language model to extract clean text from PDFs while preserving structure, optimized for large-scale batch processing.

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#pdf-processing

opendatalab/MinerU

GitHub Trending (daily) ↗ · 2026-06-25 Cached

MinerU is an open-source tool by OpenDataLab for extracting data from PDFs and documents.

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