Document Ingestion Pipeline
Every channel, one front door — email, scan, upload, API, fax — normalized into a stream the system can process.
A document ingestion pipeline is the front door of a document processing system: the layer that receives files from every intake channel — email inboxes and attachments, web and mobile uploads, scanner fleets, fax gateways, SFTP drops, API submissions, cloud-storage syncs — and converts that heterogeneous arrival stream into a normalized, tracked, processable queue. Ingestion is where a document's institutional life begins, and the pipeline's rigor here determines whether everything downstream operates on solid ground: is the file intact, is it a supported format, what case does it belong to, has it been seen before, and where is the record that it arrived?
The processing sequence is defensive by design. Format validation and sanitization first (malformed files, password-protected PDFs, container formats, and — since documents are an attack vector — malware scanning and content disarm). Then normalization: office formats and images converted to canonical processing forms, multi-file submissions and archives unpacked, encoding and page-orientation normalized. Then identity and context: deduplication against prior arrivals, association with the right case or customer (from the channel's context, an embedded barcode, or content itself), and registration — a durable ID, an integrity hash, source and timestamp metadata, the audit trail's first entry. Only then does the document enter the processing queue, prioritized per business rules, with backpressure handling for the volume spikes intake channels reliably deliver.
The pipeline's quality shows at its edges: the email with seven attachments across three cases, the 400MB scan batch, the corrupted upload retried four times, the fax that arrived as a single 60-page TIFF. Mature ingestion accounts for every arrival — accepted, rejected with reason and notification, or held for intervention — because the silent-loss failure mode (a document that entered no queue and no exception list) is the one that surfaces months later as "but we sent you that."
Not one document — forty thousand of them, overnight, with a report on what needs attention in the morning.
Every document knows where it needs to go — once something reads it and decides.
Feeding the knowledge machine — millions of enterprise documents parsed, chunked, embedded, and kept in sync.
Proof Perimeter runs document AI inside your own perimeter — with a provenance record on every field.
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