l1m is the easiest way to get structured data from unstructured text or images using LLMs. No prompt engineering, no chat history, just a simple API to extract structured json from text or images.

Hello hunters! After struggling with complex prompt engineering and unreliable parsing, we built L1M, a simple API that lets you extract structured data from unstructured text and images. This is actually a component we unbundled from our larger because it was so useful on its own. It's fully open source (MIT license) and you can: - Use with text or images (recognizes menu items, receipts, etc.) - Bring your own model (OpenAI, Anthropic, or any compatible API) - Run locally with Ollama for privacy - Cache responses with customizable TTL The code is at https://github.com/inferablehq/l1m with SDKs for Node.js, Python, and Go. Would love to hear if this solves a pain point for you or how you might use it!

@masump Thanks! You can easily parse PDFs by converting the PDF to base64 string and passing it to the API.

L1M.io is a breath of fresh air for privacy! 🔒 Loving how it helps me stay secure. Like if you're a privacy pro too! Wishing you all safe browsing!

@masump Thanks! You can easily parse PDFs by converting the PDF to base64 string and passing it to the API.

L1M.io is a breath of fresh air for privacy! 🔒 Loving how it helps me stay secure. Like if you're a privacy pro too! Wishing you all safe browsing!

l1m.io

The simplest API to get structured data from any LLM

The simplest API to get structured data from any LLM