Core solutions for structured conversions
Supametas.AI addresses the availability of unstructured data through three core processes:
- Multi-layer data parsing: automatically recognizes the semantic structure of a web page/document (title/body/list), while audio-video extracts the timeline text through ASR technology
- Smart Field Mapping: Users can specify the fields to be extracted in natural language (e.g., "Extract the contracting party and the amount of the contract"), and the system automatically creates structured field mappings.
- Adaptive OutputOutput JSON nested structure or Markdown hierarchical format according to downstream AI requirements to ensure LLM can be parsed directly.
For specific operation, it is recommended that you first input the original data via drag-and-drop upload or URL, then select "Intelligent Parsing" mode in the settings panel, and finally fine-tune the field matching rules according to the preview results. For special formats (e.g. scanned PDF), you can enable the OCR enhancement module to improve the recognition accuracy.
This answer comes from the articleSupametas.AI: Extracting Unstructured Data into LLM Highly Available DataThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of unstructured data being difficult to use directly by AI models?
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