Solutions based on visual embedding
Traditional OCR technology requires document content to be converted to text and is prone to information loss when dealing with complex formats.ColiVara solves this problem by..:
- Visual Embedding Technology: directly encode the visual features of the document, skipping OCR altogether
- Full Format RetentionSupports over 100 file formats for raw storage, including PDF/DOCX/PPTX, etc.
- multimodal search: Indexing relationships through the dual dimensions of content and visual features
Specific operational steps:
- Install the Python SDK:
pip install colivara-py - No pre-processing is required when uploading documents: use the
upsert_documentDirect upload of the original file - Automatic matching of visual features during retrieval: by
search()method to get a result containing the full format
This answer comes from the articleColiVara: Visual Embedding Based Document Storage and Retrieval ServiceThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of broken forms or lost images caused by traditional OCR technology in document processing?
