AI for Data Extraction

The best AI models for data extraction, ranked by extraction score. JSON mode is critical for structured output, vision enables document and image reading, and function calling powers pipeline integration. Updated hourly from 470+ models.

How we rank: composite score (benchmark scores 90%, capabilities 5%, context window 5%) adjusted with use-case-specific capability bonuses.

#1 Overall

Claude Fable 5.1

Anthropic

119

Best with Vision

Claude Fable 5.1

Anthropic

119

Best Budget

GPT-5.6 Luna Pro

OpenAI

112

214

JSON Mode

224

With Vision

219

Function Calling

220

128K+ Context

Top {top25.length} Data Extraction Models

#	Model	Provider	Score	$/1M Out	Context
1	Claude Fable 5.1Anthropic	Anthropic	119	$50.00	1M
2	Claude Fable 5.1 (batch)Anthropic	Anthropic	119	$25.00	1M
3	Claude Fable 5Anthropic	Anthropic	119	$50.00	1M
4	Claude Fable 5 (batch)Anthropic	Anthropic	119	$25.00	1M
5	Claude Opus 5.5Anthropic	Anthropic	118	$20.00	1M
6	Claude Opus 5Anthropic	Anthropic	118	$25.00	1M
7	Claude Opus 4.8Anthropic	Anthropic	118	$25.00	1M
8	Claude Opus 4.7Anthropic	Anthropic	118	$25.00	1M
9	GPT-5.5 ProOpenAI	OpenAI	116	$180.00	1.1M
10	GPT-5.5 Pro (batch)OpenAI	OpenAI	116	$90.00	1.1M
11	GPT-5.5OpenAI	OpenAI	116	$30.00	1.1M
12	Gemini 3.1 Pro Preview Custom ToolsGoogle	Google	115	$12.00	1.0M
13	Gemini 3.1 Pro PreviewGoogle	Google	115	$12.00	1.0M
14	Gemini 3.1 Pro Preview (batch)Google	Google	115	$6.00	1.0M
15	GPT-5.4 ProOpenAI	OpenAI	115	$180.00	1.1M
16	GPT-5.4 Pro (batch)OpenAI	OpenAI	115	$90.00	1.1M
17	GPT-5.4OpenAI	OpenAI	115	$15.00	1.1M
18	GPT-5.3-CodexOpenAI	OpenAI	114	$14.00	400K
19	GPT-5.2-CodexOpenAI	OpenAI	114	$14.00	400K
20	GPT-5.2 ChatOpenAI	OpenAI	114	$14.00	128K
21	GPT-5.2 ProOpenAI	OpenAI	114	$168.00	400K
22	GPT-5.2 Pro (batch)OpenAI	OpenAI	114	$84.00	400K
23	GPT-5.2OpenAI	OpenAI	114	$14.00	400K
24	Claude Opus 4.6Anthropic	Anthropic	113	$25.00	1M
25	GPT-5.6 Luna ProOpenAI	OpenAI	112	$1.20	1.1M

Data Extraction Use Cases

Document Processing

Extract structured data from PDFs, contracts, and reports. Models with vision can read scanned documents and handwritten text, while JSON mode ensures output is machine-parseable for downstream systems. Ideal for automating document intake pipelines.

Invoice & Receipt Extraction

Automatically parse invoices, receipts, and financial documents into structured fields -- vendor name, line items, totals, tax amounts, and dates. Vision-capable models handle photographed or scanned receipts with high accuracy.

Web Scraping & Content Extraction

Feed raw HTML or page text into an LLM to extract product details, pricing, reviews, or article metadata. JSON mode guarantees consistent output schemas, and function calling enables multi-page crawl orchestration from a single prompt.

API & Pipeline Integration

Function calling lets extraction models plug directly into your data pipeline -- calling APIs, writing to databases, or triggering downstream transformations. Combined with JSON mode, this enables fully automated ETL workflows powered by AI.

Explore models by capability, compare pricing, or dive into the full leaderboard.

JSON Output Models Vision Models Function Calling Large Context Models Data Analysis LLM Leaderboard Data Analysis Data Viz Data Eng Analytics Science

Frequently Asked Questions

Yes, vision-capable models extract tables, forms, and key-value pairs from PDFs, images, and scanned documents. JSON mode ensures the output is machine-readable. Reasoning handles complex layouts where traditional OCR fails (multi-column, nested tables, handwritten annotations).

Top vision models achieve 95-99% accuracy on printed documents and 85-95% on handwritten text. Accuracy depends on document quality, layout complexity, and domain-specific terminology. Always implement validation rules and human review for critical data.

Models with web search and function calling can scrape structured data from web pages. JSON mode ensures consistent output format. For large-scale extraction, combine AI with traditional scraping tools and use models for the parsing/structuring step.

Vision models process PDFs, images (JPEG, PNG), scanned documents, and screenshots. Models without vision handle plain text, HTML, CSV, and JSON. For best results on complex documents, use vision-capable models that can see the actual layout.