Show HN: I Made an Open Source Platform for Structuring Any Unstructured Data
OmniParse transforms unstructured data into structured formats for GenAI applications. It supports various data sources and offers features like table extraction, image processing, audio/video transcription, and web crawling. Explore further on GitHub.
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OmniParse is a platform designed to transform unstructured data into structured, actionable data suitable for GenAI (LLM) applications. It accommodates various data sources like documents, tables, images, videos, audio files, and web pages. The platform offers functionalities such as table extraction, image extraction with captioning, audio/video transcription, web page crawling, and more. For those interested in exploring OmniParse, the GitHub repository provides access to additional details, installation guidelines, instructions for use, supported data formats, API endpoints, and insights into upcoming developments. Visit the GitHub repository at the provided URL to delve deeper into OmniParse's features and capabilities.
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4 commentsThe table name was parsed as part of a column name, and half of the column names were not parsed at all.
Original: https://github.com/adithya-s-k/marker-api/blob/master/data/i...
Parsed: https://github.com/adithya-s-k/marker-api/blob/master/data/i...
2. Is there an option for a more permissive license that isn't GNU for commercial enterprise use?
Thanks!
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