Pricing

from $1.00 / 1,000 converted pdfs

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PDF to Markdown & Text for AI/RAG

Try for free

Convert PDF URLs to clean Markdown or plain text for LLMs, RAG and AI agents. Keeps headings, lists and tables, removes headers/footers, and can return heading-aware chunks. Works with Google Drive, Dropbox and password-protected PDFs. Failed files are not charged.

Pricing

from $1.00 / 1,000 converted pdfs

Rating

0.0

(0)

Developer

Marcelo Palacios

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Monthly active users

17 hours ago

Last modified

PDF to Markdown for AI & RAG: Tables and Chunks API through CLI

The Apify CLI is the official tool that allows you to use PDF to Markdown & Text for AI/RAG locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

PDF to Markdown & Text for AI/RAG API in Python

PDF to Markdown & Text for AI/RAG API in JavaScript

PDF to Markdown & Text for AI/RAG OpenAPI definition

PDF to Markdown & Text for AI/RAG API

PDF to Markdown RAG-Ready

hedelka/pdf-to-markdown-rag

Premium PDF scraper that preserves tables and structure. Optimized for RAG.

Dmitry Goncharov

Web-to-Markdown Generator for AI & RAG Pipelines

profitstack/web-to-markdown-generator-for-ai-rag-pipelines

Convert any website into clean, heading-based chunking, LLM-ready Markdown for RAG and AI agents.

Manas Mantri

PDF to Text API | Document Extraction for LLMs & RAG

andok/pdf-text-converter

Convert bulk PDF documents via URL into clean, raw text. The perfect document scraper for LLMs, vector databases, and RAG pipelines.

Andok

PDF to Markdown & JSON Converter (Docling)

actorzlab/docling-pdf-converter

Convert PDF documents to clean Markdown, structured JSON, and plain text using IBM's open-source Docling AI. Handles text PDFs and scanned documents (OCR), extracts tables and images. No external API key required — runs fully on-device.

Khalil Drissi

Pdf Text Extractor Pro

dainty_screw/pdf-text-extractor-pro

PDF Text Extractor lets you quickly extract text from PDF files with high accuracy. Supports text chunking for AI, chatbots, and large language models (LLMs), making PDF-to-text conversion fast, clean, and ready for NLP or machine learning.

codemaster devops

5.0

(1)

Markdown RAG Chunker: Document Text Splitter

codepoetry/markdown-rag-chunker

RAG chunking for PDFs, Word, PowerPoint, Excel, EPUB and web pages. A header-aware text splitter keeps each chunk inside one section, caps it at 512 tokens by default, and adds its header path, source, stable ID and exact token count. Ready to embed into Pinecone, Qdrant or pgvector.

CodePoetry

PDF Text Extractor & Document Parser: DOCX, XLSX, OCR, Markdown

yabanana99/pdf-word-excel-to-markdown

Parse Word, PowerPoint, Excel and PDF documents into clean Markdown and structured JSON: tables extracted cell-by-cell, document metadata, and RAG-ready chunks with heading paths. Built-in OCR for scans and images.

Daniele Giovane

PDF Text Extractor — Markdown, Tables, OCR & RAG Chunks

nanare-sudo/pdf-text-extractor-rag

Extract text, GFM Markdown, tables (2D arrays + CSV) and heading-aware RAG chunks with page anchors from PDFs. URLs, base64 upload, key-value store, password-protected PDFs, page ranges, OCR fallback (eng/deu/fra/spa) only for pages without a text layer. Failed PDFs are never charged.

Leonardo Berisha

PDF to Markdown for RAG & LLMs — Tables

vivid_astronaut/pdf-to-markdown-for-rag

Convert PDFs into structured Markdown for RAG and LLM ingestion while preserving tables, headings, and reading order. No external parsing API key; tiered per-page pricing.

BRAINIALL Team

PDF to Markdown — Tables + OCR, for RAG & AI Agents

lizaraco/pdf-to-markdown

Convert PDFs to clean markdown at scale: layout-aware text extraction, table handling, and a vision-model OCR tier for scanned or broken pages. Per-page transparency, never-fail runs.