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Pulse: Hybrid VLM + OCR System for Accurate Document Extraction

By

sidmanchkanti21

5mo ago· 4 min readen

Summary

Pulse is a document extraction system that combines vision language models (VLMs) with OCR technology to create accurate, LLM-ready text from unstructured documents. The founders highlight that while modern VLMs can produce plausible text, they often lack the accuracy needed for production-grade document processing. Pulse addresses this by using a hybrid approach that ensures high accuracy for data ingestion tasks, particularly for challenging document types. The post includes demo videos and before-and-after examples showcasing the system's capabilities on difficult cases.

Key quotes

· 4 pulled
Pulse is a document extraction system to create LLM-ready text using hybrid VLM + OCR models
Modern vision language models are great at producing plausible text, but that makes them risky for OCR and data ingestion
Plausibility isn't good enough when you need accuracy
Check those out to see what Pulse can really do!
Snippet from the RSS feed
Hi HN, we’re Sid and Ritvik, co-founders of Pulse (https://www.runpulse.com/). Pulse is a document extraction system to create LLM-ready text using hybrid VLM + OCR models.

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