The technological breakthrough of the platform is reflected in the ability of full-domain file compatibility. In addition to conventional PDF, it can directly handle table text in JPG/PNG images, speech-to-text in MP3 audio, and OCR recognition of MP4 video frames. A case study of an energy company shows that the system can simultaneously parse solar panel quotations (PDF), site survey photos (JPG) and engineers' audio recordings (MP3), and automatically generate structured parameter comparison tables.
The underlying technology adopts a multimodal AI architecture: the computer vision module handles image element localization, the NLP engine parses semantic commands, and the speech recognition component transforms audio waveforms. In the test, the field recognition accuracy of 98.7% is still maintained for complex documents containing handwriting and seal overlays.API pre-integration with Salesforce and other 2500+ applications realizes seamless flow from extraction to business systems.
This answer comes from the articleCloudsquid: upload documents and describe requirements for intelligent extraction of structured dataThe
