Guides / Data, docs & OCR / Parsing PDFs and documents for LLMs
📄 Best for the job · 6 tools

Best tools for converting PDFs and documents for LLMs

Clean input makes better AI output. These parsers turn PDFs, Office files and slides into markdown, JSON or chunks that models and RAG pipelines can use.

Ranked by score on our 100-point rubric (how we score). Scores are initial editorial estimates from public information, not hands-on tests. Pricing is labeled verified (checked on the vendor's official pricing page, with date) or unverified.

Quick picks

#ToolTierScoreFree tierPricing
1 Docling
Open-source document conversion toolkit
A 81 Yes unverified
2 Mistral OCR
Document understanding OCR API
A 77 No unverified
3 LlamaParse
GenAI-native document parser
A 73 Yes verified
4 Marker
Open-source PDF to markdown converter
A 73 Yes unverified
5 Unstructured
ETL for unstructured data
B 69 Yes verified
6 Reducto
High-accuracy document parsing API
B 66 Yes verified

The ranking

  1. 1
    Docling
    Open-source document conversion toolkit
    open source A81/100

    IBM-originated library that converts PDFs, Office docs and more into structured formats for AI.

    Best for
    You want free, local document parsing.
    Skip it if
    You want a hosted API with SLAs.
    Pricing
    Free and open source
    unverified editorial summary, not yet confirmed on an official pricing page
    Platforms
    Python SDK · CLI · MCP
  2. 2
    Mistral OCR
    Document understanding OCR API
    A77/100

    OCR model that extracts text, tables and images from PDFs into markdown via API.

    Best for
    You need high-volume PDF-to-markdown conversion.
    Skip it if
    You need fully local processing.
    Pricing
    Pay-per-page API pricing
    unverified editorial summary, not yet confirmed on an official pricing page
    Platforms
    API
  3. 3
    LlamaParse
    GenAI-native document parser
    A73/100

    Parses complex PDFs, tables and slides into LLM-ready formats, part of LlamaCloud.

    Best for
    You build RAG over messy documents.
    Skip it if
    You need on-prem without enterprise contracts.
    Pricing
    Free plan (10K credits); Starter $50/mo; Pro $500/mo
    ✓ verified on the official pricing page, Oct 18, 2026
    Platforms
    API
  4. 4
    Marker
    Open-source PDF to markdown converter
    open source A73/100

    Fast, accurate open-source conversion of PDFs to markdown/JSON, with a hosted API by Datalab.

    Best for
    You want local high-quality PDF to markdown.
    Skip it if
    You need commercial use at a large company without a license.
    Pricing
    Free and open source (license limits for larger companies); hosted API paid
    unverified editorial summary, not yet confirmed on an official pricing page
    Platforms
    Python SDK · CLI
  5. 5
    Unstructured
    ETL for unstructured data
    open source B69/100

    Open-source library and platform that ingests and chunks documents for RAG pipelines.

    Best for
    You need a document ETL pipeline for RAG.
    Skip it if
    You only convert a few files.
    Pricing
    First 10,000 pages free, then $0.015/page pay-as-you-go
    ✓ verified on the official pricing page, Oct 18, 2026
    Platforms
    API · Python SDK
  6. 6
    Reducto
    High-accuracy document parsing API
    B66/100

    Vision-based document parsing and extraction for complex enterprise documents.

    Best for
    Accuracy on complex tables is critical.
    Skip it if
    You have a small budget.
    Pricing
    $150 free usage, then standard rates (Parse $10/1,000 pages); Growth plan custom
    ✓ verified on the official pricing page, Oct 18, 2026
    Platforms
    API

Head-to-head comparisons

FAQ

What is the best AI tool for parsing PDFs and documents for LLMs?

Docling ranks first with 81/100 (A-tier). Open-source document conversion toolkit. Use it when you want free, local document parsing. Next in our ranking: Mistral OCR (77/100, A-tier) and LlamaParse (73/100, A-tier).

Which AI tools for parsing PDFs and documents for LLMs have a free tier?

In our pricing data, Docling (unverified), LlamaParse (verified), Marker (unverified), Unstructured (verified) and Reducto (verified) list a free tier. "Unverified" means it is an editorial summary we have not yet confirmed on the vendor's official pricing page, so check the vendor before relying on it.

Are there open-source options for parsing PDFs and documents for LLMs?

Yes. Docling, Marker and Unstructured are listed as open source or open weights. Check each project's license before commercial use.

How are these tools ranked?

Each tool is scored out of 100 on our public rubric: job fit (30), ease (15), value (15), momentum (15), openness and portability (10), trust and maturity (10) and a builder/gamer bonus (5). S-tier is 85+, A-tier 70–84, B-tier 55–69 and C-tier below 55. Current scores are initial editorial estimates from public information, not hands-on tests, and sponsors can't buy points.

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