llama_cloud_services: Parse Documents and Use Llama Cloud Services
Summary
A TypeScript client and service repository for Llama Cloud document processing and knowledge workflows. It is deprecated; new projects should use the replacement packages linked by the maintainers.
At a glance
- Language
- TypeScript
- License
- MIT
- Stars
- 4.3k
- Forks
- 463
- Added to OSRepos
- July 3, 2026
- Last analyzed
- October 3, 2026
Use at your own risk
OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.
Overview
llama_cloud_services provides access to Llama Cloud services for document parsing and knowledge management. Its document-focused scope includes converting and extracting content from formats such as PDF, DOCX, and PowerPoint files into text, Markdown, and structured data.
The repository is for developers building applications around Llama Cloud rather than a standalone document-processing product. It is deprecated, so it is mainly relevant to existing integrations that need context for migration; new development should use the replacement packages.
Key Features
- Supports document parsing workflows for PDF, DOCX, and PowerPoint formats.
- Covers outputs such as text, Markdown, JSON, and Excel-oriented data.
- Focuses on document content, including tables and structured data.
- Connects document processing with Llama Cloud knowledge services.
- Has a TypeScript package and a corresponding Python package in the repository's migration guidance.
Use Cases
- Application developers can integrate Llama Cloud document services into existing TypeScript projects.
- Teams handling PDFs can evaluate cloud-based extraction into text, Markdown, or structured formats.
- Developers processing office documents can explore parsing workflows for DOCX and PowerPoint files.
- Existing users can identify the maintained successor packages when updating an integration.
Project Facts
- Language: TypeScript
- License: MIT
- Stars: 4.3k
- Forks: 463
- Topics: document, document-parser, document-parsing, docx-to-markdown, parsing, pdf, pdf-document-processor, pdf-to-excel, pdf-to-json, pdf-to-markdown, pdf-to-text, ppt-to-json, ppt-to-markdown, pptx, structured-data, tables
- Archived: No
Getting Started
For new TypeScript projects, install the replacement package:
npm install @llamaindex/llama-cloud
Python users can install llama-cloud>=1.0 with pip. See the repository README and the replacement TypeScript project for migration details.
Alternatives
- Firecrawl: Firecrawl extracts web content through crawling and scraping, while llama_cloud_services focuses on document processing and knowledge workflows.
- deepscrape: deepscrape turns websites into clean or structured data, while llama_cloud_services processes documents and supports knowledge workflows.
Considerations
The README marks this repository and its packages as deprecated and directs users to replacement Python and TypeScript packages for active development and support. Its notice says maintenance continues until May 1, 2026, so check the linked successor projects before starting a new integration. Using the cloud services also means your workflow depends on Llama Cloud; the supplied repository information does not specify service requirements or pricing.
Source repository
Open the original repository on GitHub.
33 counted GitHub visits
Related repositories
Similar repositories that may be relevant next.
OrcaReplay: Time Travel for AI Agents, Debugging and Evaluation
October 2, 2026
OrcaReplay introduces "time travel" capabilities for AI agents, allowing developers to record, replay, fork, and debug any agent run with any model. It addresses the challenges of AI agent debugging by providing byte-for-byte reproducibility, offline analysis, and the ability to compare different models from specific checkpoints. This tool, built by the OrcaRouter.ai team, enhances observability and control over complex agent behaviors.
OpenMake LLM: Self-Hosted AI Workspace for Local and Open-Weight LLMs
October 1, 2026
OpenMake LLM is an open-source, self-hosted AI workspace for local and open-weight LLMs. It coordinates specialized models, autonomous agents, and tools for deep research and artifact generation. This platform supports vLLM, LiteLLM, and BYOK providers, offering a robust environment for managing AI workloads.
ZenNotes: Keyboard-First Markdown Notes with Vim, Diagrams, and MCP Integration
October 1, 2026
ZenNotes is a versatile, keyboard-first Markdown notes app designed for speed and flexibility. It stores notes as plain Markdown files, offering Vim-friendly editing, diagram support, and integration with MCP tools. Available as a desktop app (Electron) and a self-hosted web app, ZenNotes provides a powerful solution for organizing your thoughts.
lat.md: A Knowledge Graph for Your Codebase, Written in Markdown
September 26, 2026
lat.md is an innovative tool that transforms your codebase knowledge into an interconnected graph of markdown files. It helps both AI agents and human developers quickly understand project architecture, business logic, and design decisions. By integrating directly into your project, lat.md ensures documentation remains consistent and up-to-date.