Best SDKs for AI agents that handle Office and PDF files (worth paying for?)

Requested by a visitor · October 25, 2026

We asked 10 models: Which document SDKs for AI agents are actually worth paying for? Each named its own top 10.

Asked 4 ways: List request · Buyer asking for advice · Search query · Worth paying for?. Share of voice pools every wording.

Agreement between models: 22%
Same model, run twice: 50%
Different picks: 53

When agreement between models is well below a model's agreement with itself, the split reflects real differences in taste rather than randomness.

The consensus

Each cell is the position that model gave the pick; blank means it left the pick off. Click a row for each model's reasoning.

#	Pick	Listed by	Claude Haiku 5.5	GPT-6 Luna	Gemini 4 Argon	Qwen 3.8 Flash	DeepSeek V4 Pro	GLM-5.3	Kimi K3	MiniMax M3	Mistral Large 4	Nemotron 3 Ultra
1	Unstructured	7/10	1	1	3		4	7	3	4
Claude Haiku 5.5 (#1) Strong open-source document parsing for LLM pipelines, with a paid API for complex layouts. GPT-6 Luna (#1) Broad format coverage and mature chunking pipelines make it a dependable production ingestion SDK. Gemini 4 Argon (#3) Supports the widest range of enterprise file formats with robust chunking strategies. Kimi K3 (#3) Mature enterprise-grade pipeline; handles messy real-world documents reliably DeepSeek V4 Pro (#4) Best-in-class document pre-processing for PDFs, HTML, and messy enterprise formats. MiniMax M3 (#4) Broad format coverage and solid ETL pipeline integration GLM-5.3 (#7) Broadest format coverage; solid choice for heterogeneous document corpora.
2	LlamaParse	6/10	7	5	1			1	1	1
Gemini 4 Argon (#1) Unmatched accuracy in converting complex PDFs and nested tables into agent-ready markdown. GLM-5.3 (#1) Purpose-built for LLM RAG pipelines; best table and layout extraction per dollar. Kimi K3 (#1) Best-in-class parsing accuracy for complex PDFs; agent-ready structured output MiniMax M3 (#1) Best-in-class PDF parsing accuracy for complex layouts GPT-6 Luna (#5) Strong OCR, tables, and layout extraction; practical multimodal parsing for agent-ready document ingestion. Claude Haiku 5.5 (#7) Purpose-built for RAG ingestion; handles tables and messy PDFs well for agents.
3	Azure AI Document Intelligence	6/10	2	3	4			4	5		5
Claude Haiku 5.5 (#2) Mature extraction models, prebuilt invoice and form parsers, enterprise compliance coverage. GPT-6 Luna (#3) Reliable managed OCR, forms, and tables with strong enterprise integrations and operational support. Gemini 4 Argon (#4) Enterprise-grade reliability, high-speed OCR, and superior multi-language layout extraction. GLM-5.3 (#4) Enterprise-grade accuracy and compliance; proven at scale. Kimi K3 (#5) Enterprise compliance plus custom model training; scales reliably
4	LlamaIndex	5/10	6	4			1				4	2
DeepSeek V4 Pro (#1) Most mature data ingestion pipeline for RAG, especially with complex document parsing. Nemotron 3 Ultra (#2) Best-in-class RAG, data connectors, agentic workflows Mistral Large 4 (#4) Flexible open-core framework that speeds up data-to-LLM plumbing significantly.
5	Google Cloud Document AI	7/10	5	6	6			5	9	10	1
Claude Haiku 5.5 (#5) Strong OCR and specialized processors, solid accuracy across many document types. GLM-5.3 (#5) Strong OCR plus LLM-enhanced extraction with generous GCP integration. GPT-6 Luna (#6) High-quality OCR and specialized parsers for invoices, contracts, and other business documents. Gemini 4 Argon (#6) Industry-leading OCR accuracy backed by specialized pre-trained parsers for common business documents. MiniMax M3 (#10) Strong OCR and pre-trained industry-specific models
6	Reducto	4/10	3		2			3	2
Gemini 4 Argon (#2) Purpose-built for LLM pipelines with exceptional layout preservation and bounding box citations. Kimi K3 (#2) Purpose-built for agents; excellent table extraction and layout understanding Claude Haiku 5.5 (#3) Accurate parsing for complex documents with structured outputs aimed at AI pipelines. GLM-5.3 (#3) Top-tier parsing for complex PDFs; benchmarks beat most rivals on messy layouts.
7	Amazon Textract	6/10	4	8	5			6	7		3
Claude Haiku 5.5 (#4) Reliable OCR and table and form extraction, scales well inside AWS workflows. Gemini 4 Argon (#5) Battle-tested scalability for high-volume extraction of structured forms, tables, and handwriting. GLM-5.3 (#6) Reliable, cheap at volume, seamless inside AWS agent stacks. GPT-6 Luna (#8) Battle-tested form and table extraction, especially compelling for AWS-centric agent workflows.
8	LangChain	6/10	9	7			3		10		6	1
Nemotron 3 Ultra (#1) Mature ecosystem, huge community, production-ready agents DeepSeek V4 Pro (#3) Dominant orchestration layer; worth paying for LangSmith observability, not just OSS. Mistral Large 4 (#6) Mature ecosystem with broad integrations, though abstraction overhead frustrates some teams. Kimi K3 (#10) Docling integration plus ecosystem glue justifies cost for pipeline builders
9	Pinecone	2/10					2				2
DeepSeek V4 Pro (#2) Purpose-built vector DB with serverless; reliable retrieval at scale for doc-heavy agents. Mistral Large 4 (#2) Best-in-class managed vector DB with excellent latency and scale for production RAG.
10	Docling	2/10		2					6
GPT-6 Luna (#2) Excellent open-source layout and table understanding, with a clean toolkit for structured extraction. Kimi K3 (#6) IBM-backed open source core with paid hosting; strong PDF fidelity
11	CrewAI	2/10					7					3
Nemotron 3 Ultra (#3) Role-based agent teams, simple YAML config, fast prototyping DeepSeek V4 Pro (#7) Simplest multi-agent orchestration for document review pipelines; fast time-to-value.
12	Mintlify	1/10				1
Qwen 3.8 Flash (#1) Agent-ready docs with LLMs.txt and MCP out of the box.
13	Adobe PDF Services	4/10	10	9				8		7
MiniMax M3 (#7) Trusted PDF tooling with strong AI-extraction features GLM-5.3 (#8) Best-in-class PDF manipulation plus extraction; enterprise trust. Claude Haiku 5.5 (#10) Dependable PDF extraction and manipulation APIs backed by a well-known vendor.
14	Docusaurus	1/10				2
Qwen 3.8 Flash (#2) Open core; paid support worth it for large SDK sites.
15	Mistral OCR	1/10						2
GLM-5.3 (#2) Cheap, fast, and surprisingly accurate; strong recent option for agent document ingestion.

38 lower-scoring picks are not shown; every ballot below lists them in full.

Most divisive

Picks most models listed, at very different positions

Google Cloud Document AI#1 for Mistral Large 4 #10 for MiniMax M3
LangChain#1 for Nemotron 3 Ultra #10 for Kimi K3
Unstructured#1 for Claude Haiku 5.5 #7 for GLM-5.3

Hot takes

Picks that appear on only one ballot

Mintlify at #1, only Qwen 3.8 Flash
Docusaurus at #2, only Qwen 3.8 Flash
Mistral OCR at #2, only GLM-5.3
Notion API at #2, only MiniMax M3
Google Docs API at #3, only MiniMax M3
Docmost at #4, only Qwen 3.8 Flash
LandingAI at #4, only Kimi K3
Haystack at #4, only Nemotron 3 Ultra
GitBook at #5, only Qwen 3.8 Flash
Docparser at #5, only MiniMax M3
OpenAI SDK at #5, only Nemotron 3 Ultra
Fern at #6, only Qwen 3.8 Flash

Every ballot

Hover a pick to find it on the other ballots. Marked picks appear on no other ballot.

Claude Haiku 5.5

Unstructured
Azure AI Document Intelligence
Reducto
Amazon Textract
Google Cloud Document AI
LlamaIndex
LlamaParse
Docugami
LangChain
Adobe PDF Services

75% with consensus · 48% self-consistent

GPT-6 Luna

Unstructured
Docling
Azure AI Document Intelligence
LlamaIndex
LlamaParse
Google Cloud Document AI
LangChain
Amazon Textract
Adobe PDF Services
Adobe PDF Extract API

77% with consensus · 36% self-consistent

Gemini 4 Argon

LlamaParse
Reducto
Unstructured
Azure AI Document Intelligence
Amazon Textract
Google Cloud Document AI
Nutrient
Extend
Apryse
Abbyy FineReader Engine

58% with consensus · 88% self-consistent

Qwen 3.8 Flash

Mintlify
Docusaurus
ReadMe
Docmost
GitBook
Fern
ScrapingBee
Firecrawl
Archbee
Stoplight

0% with consensus · 50% self-consistent

DeepSeek V4 Pro

LlamaIndex
Pinecone
LangChain
Unstructured
Weaviate
Chroma
CrewAI
Cohere
Mendable
ReadMe

23% with consensus · 74% self-consistent

GLM-5.3

LlamaParse
Mistral OCR
Reducto
Azure AI Document Intelligence
Google Cloud Document AI
Amazon Textract
Unstructured
Adobe PDF Services
Mathpix
pdf.ai

49% with consensus · 86% self-consistent

Kimi K3

LlamaParse
Reducto
Unstructured
LandingAI
Azure AI Document Intelligence
Docling
Amazon Textract
Anthropic
Google Cloud Document AI
LangChain

53% with consensus · 83% self-consistent

MiniMax M3

LlamaParse
Notion API
Google Docs API
Unstructured
Docparser
Microsoft Graph (OneDrive/SharePoint)
Adobe PDF Services
Dropbox API
Box API
Google Cloud Document AI

31% with consensus · 0% self-consistent

Mistral Large 4

Google Cloud Document AI
Pinecone
Amazon Textract
LlamaIndex
Azure AI Document Intelligence
LangChain
ABBYY Vantage
Weaviate
Nanonets
Qdrant

31% with consensus · 0% self-consistent

Nemotron 3 Ultra

LangChain
LlamaIndex
CrewAI
Haystack
OpenAI SDK
AutoGen
Anthropic SDK
LangGraph
Semantic Kernel
DSPy

12% with consensus · 39% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 0 (lightest) to 83 (darkest)

	Claude Haiku 5.5	GPT-6 Luna	Gemini 4 Argon	Qwen 3.8 Flash	DeepSeek V4 Pro	GLM-5.3	Kimi K3	MiniMax M3	Mistral Large 4	Nemotron 3 Ultra
Claude Haiku 5.5		68	53	0	16	43	44	14	30	6
GPT-6 Luna	68		38	0	23	29	37	19	27	13
Gemini 4 Argon	53	38		0	10	73	83	47	19	0
Qwen 3.8 Flash	0	0	0		1	0	0	0	0	0
DeepSeek V4 Pro	16	23	10	1		3	10	10	38	38
GLM-5.3	43	29	73	0	3		65	42	19	0
Kimi K3	44	37	83	0	10	65		47	12	1
MiniMax M3	14	19	47	0	10	42	47		1	0
Mistral Large 4	30	27	19	0	38	19	12	1		15
Nemotron 3 Ultra	6	13	0	0	38	0	1	0	15