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l1m (pronounced 'el-one-em') is a structured data extraction API that acts as a proxy to extract structured JSON from unstructured text and images using LLMs. Built by an open-source team, it solves the problem of needing complex prompt engineering and multiple API calls to get structured data from LLMs. Core capabilities include a schema-first approach where users define their desired output using JSON Schema, zero prompt engineering required, provider flexibility supporting any OpenAI-compatible or Anthropic provider, built-in caching with configurable TTL, and no data retention by default. It fits developers and teams who need reliable, schema-validated data extraction from raw text or images, such as parsing invoices, menus, or documents. The tool is open-source with a hosted version available, offering a free tier and high availability. Users can bring their own LLM provider or use the managed API, making it suitable for both prototyping and production workflows.
4.5/5
High, consistent, and schema-compliant
Minimal API with clear documentation
To extract structured JSON data from unstructured text and images using LLMs with a schema-first approach.
Works with any OpenAI-compatible or Anthropic provider, supports local models via Ollama, and offers SDKs for Node.js, Python, and Go.
Freemium with free tier (500 requests) and pay-as-you-go standard plan
Features with the highest value for users are highlighted here.
Schema-first JSON extraction
Zero prompt engineering
Multi-provider support (OpenAI, Anthropic)
Built-in caching with TTL
Open-source with hosted option
No data retention
Image and text input support
Official SDKs for Node.js, Python, Go
Backend Developers
Data Engineers
AI/ML Engineers
Product Managers
Startups
Enterprise Teams
Open Source Contributors
Image Processing Workflows
Content Aggregators
API Integrators
Free
Standard
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