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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
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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