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LlamaClassify

API service

by LlamaIndex

LlamaClassify automatically categorizes documents into user-defined types.

Find alternatives to LlamaClassify

What it does

• Data labelling

Features 3

• Natural-language rulesCategorizes documents into user-defined types using natural-language rules.
• Confidence and reasoningEach file gets a predicted type, a confidence from 0.0 to 1.0 and a step-by-step reasoning.
• Parsing configurationOptional settings control how documents are parsed before classification, such as language and page limits.

Sources

Pricing

Pricing page · 14 Oct 2026

"credits, which are billed per page"

Description

Official documentation · 14 Oct 2026

"automatically categorize documents into types you define"

What it does

Official documentation · 14 Oct 2026

"Auto-tag large archives into meaningful categories"

Sold within

Official documentation · 14 Oct 2026

"leveraging LlamaParse products such as LlamaExtract, LlamaClassify and LlamaParse."

Name

Official documentation · 14 Oct 2026

"use the LlamaClassify for document classification."

URL

Official documentation · 14 Oct 2026

"use the LlamaClassify for document classification."

Deployment

Official documentation · 14 Oct 2026

"Upload your files to LlamaCloud"

Interfaces

Official documentation · 18 Oct 2026

Page: 'Learn what the Classification API is, how rules work, and how to run classifications using the client SDK'.

Intended for

Official documentation · 18 Oct 2026

Page: 'Overview of Classify Learn what the Classification API is'.

Also from LlamaIndex

• LlamaParse API service

  Document parsing for LLM pipelines: layout-aware, agentic extraction that turns PDFs, contracts and forms into structured text a retrieval system can index, with an LLM or VLM reading the page when basic parsing is not enough.

• LlamaIndex Index Data service

  The Index part of LlamaParse: intelligent chunking and embedding that turns parsed documents into a searchable knowledge base for agents.

• LiteParse Developer tool

  LlamaIndex's open-source document parser, published on GitHub for teams that want parsing in their own process rather than through LlamaCloud.

• LlamaIndex Developer tool

  The open-source framework the company is named for: SDKs for building context-aware agents over a company's own data, with Workflows for orchestration.

• LlamaExtract Data service

  Extracts structured data from complex documents using custom schemas, with field-level confidence scores and citations back to source.

• LlamaAgents Agent platform

  LlamaAgents lets developers build, run, and deploy document-agent workflows.

• Workflows Developer tool

  Workflows is a framework for building multi-step agentic AI applications in Python and TypeScript.

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