Turn files into usable source text
The document-processing direction focuses on extracting useful text and metadata from documents before those files are searched, chunked, or embedded.
- Text extraction
- Metadata
- Cleaning
- Reviewable outputs
Documents need structure before they become useful in AI systems. SourceOfTruth.io is designed around the source-preparation layer: clean content, traceable outputs, and metered processing that can scale responsibly.
The document-processing direction focuses on extracting useful text and metadata from documents before those files are searched, chunked, or embedded.
AI-ready data should still point back to the source. Evidence and metadata help teams debug bad chunks, stale data, and retrieval mistakes.
Parsing, extraction, embedding, and advanced AI processing can be expensive. SourceOfTruth.io treats document processing as metered work, not unlimited scope.
Document extraction, Transform, reprocess, indexing, and persisted-output workflows are active customer surfaces where supported.
Processed output should retain file, page, section, and run context for auditability.
Extraction quality should be checked before source text reaches embeddings or automated answers.
Crawler and supported document workflows are active; advanced document intelligence and provider-dependent processing remain separately gated.