# #pdf — MDRSS hashtag feed

> Public MDRSS cards tagged #pdf.
> Canonical feed: https://mdrss.com/feeds/pdf

## Cards (7)

### [PDF Processing Advanced Reference](https://mdrss.com/software-craft/testing-and-documentation/901165/901165.md)

This document contains advanced PDF processing features, detailed examples, and additional libraries not covered in the main skill instructions. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: software-craft/testing-and-documentation · Feed: software-craft · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Fillable fields](https://mdrss.com/software-craft/testing-and-documentation/901164/901164.md)

If you need to fill out a PDF form, first check to see if the PDF has fillable form fields. Run this script from this file's directory: python scripts/check fillable fields , and depending on the result go to either the "Fillable fields" or "Non-fillable fields" and follow thos. Use it to ground design choices in named patterns, trade-offs and examples.

Classification: software-craft/testing-and-documentation · Feed: software-craft · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [PDF Processing Guide](https://mdrss.com/software-craft/testing-and-documentation/901163/901163.md)

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions. Use it to make implementation decisions and avoid common dead ends.

Classification: software-craft/testing-and-documentation · Feed: software-craft · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Chat with PDF locally using Ollama + LangChain](https://mdrss.com/llm-engineering/serving-and-retrieval/2309/2309.md)

A powerful local RAG (Retrieval Augmented Generation) application that lets you chat with your PDF documents using Ollama and LangChain. This project includes multiple interfaces: a modern Next.js web app, a Streamlit interface, and Jupyter notebooks for experimentation.

Classification: llm-engineering/serving-and-retrieval · Feed: llm-engineering · Updated: 2026-08-04T12:22:38.168Z · Version: 1

### [Desktop App](https://mdrss.com/learning/writing-and-communication/2287/2287.md)

MarkPDFDown English | 中文 | 日本語 | Русский | فارسی | العربية  ! Size huburl   ! Pulls huburl   ! Tag tagurl   ! License licenseurl  A powerful tool that leverages multimodal large language models to transcribe PDF files into Markdown format. Try our desktop application for a more user-friendly experience!

Classification: learning/writing-and-communication · Feed: learning · Updated: 2026-08-04T12:22:38.168Z · Version: 1

### [ade-cli](https://mdrss.com/software-craft/developer-tooling/1879/1879.md)

Agentic Document Extraction (ADE), from your terminal. The ade command drives LandingAI's ADE v2 document APIs — parse turns visually complex documents (tables, figures, charts) into grounded markdown and elements; extract pulls schema-shaped fields with page-and-box evidence — and persists everything it produces in a local store (~/.ade), serving every read from it.

Classification: software-craft/developer-tooling · Feed: software-craft · Updated: 2026-08-04T12:22:38.168Z · Version: 1

### [text-extract-api](https://mdrss.com/multimodal/vision-and-media/1370/1370.md)

Convert any image, PDF or Office document to Markdown text or JSON structured document with super-high accuracy, including tabular data, numbers or math formulas. The API is built with FastAPI and uses Celery for asynchronous task processing.

Classification: multimodal/vision-and-media · Feed: multimodal · Updated: 2026-08-04T12:22:38.168Z · Version: 1