Document processing that turns scans into records.
TL;DR. TechSure extracts fields from scanned PDFs, photos, and forms at 98.7 percent first-pass accuracy, validates them against a rule set, and commits them to your target system. The original document is attached to the record for audit. Average onboarding is 5 to 10 days.
What does TechSure's document processing service actually do?
We turn unstructured documents into structured records. Inputs include scanned PDFs, photos, handwritten forms, email attachments, and API feeds. We extract the fields you care about, validate them against a rule set, and commit them to your target system. The original document is attached to the extracted record for audit.
What we extract, in plain terms
- Invoice line items, vendor, totals, tax
- Bank statement transactions, balances, dates
- ID document fields, MRZ, expiry
- Contract clauses, parties, dates, amounts
- Handwritten forms and field notes
- Multi-language documents: English, Spanish, German, French, Arabic, Mandarin, Urdu
A live demo of this discipline's workflow mounts here. Static metrics shown until then.
How does the document pipeline run from scan to commit?
Five steps, instrumented end to end. Each step has a clear owner, a clear SLA, and a clear place to roll back if extraction confidence dips below your threshold.
The five-stage pipeline
- Ingest. Files arrive through SFTP, email, API, or dashboard upload. We hash, timestamp, and store the original.
- Extract. OCR plus layout models read the document. Typed inputs skip this step.
- Classify. The document is matched to a template (invoice, statement, contract) so the right field set is used.
- Validate. Fields are checked against your rule set. Low-confidence fields are flagged for human review, not auto-corrected.
- Commit. Approved records land in your system with the source document attached.
How is the engagement structured, and what does it cost?
Statement-of-work, with a fixed monthly retainer sized to the document volume, template count, and SLA. We do not bill by the hour or by the page. The retainer covers the operators, the engineers, the QA, the dashboard, and the named account owner.
What the monthly price covers
- Named operators trained on your templates and rule sets
- A TechSure engineer on the pod, owning the OCR pipeline and integrations
- QA pass on every batch before commit, with a senior reviewer for escalations
- Engagement dashboard with live accuracy, throughput, and SLA
- Monthly review with the named account owner and a TechSure partner
FAQ
Common questions on Document Processing
What does TechSure's document processing service actually do?
We turn unstructured documents into structured records. Inputs include scanned PDFs, photos, handwritten forms, email attachments, and API feeds. We extract the fields you care about, validate them against a rule set, and commit them to your target system. The original document is attached to the extracted record for audit.
How accurate is the extraction?
Across our pilot clients in the last 12 months, field-level accuracy is 98.7 percent on first pass and 99.4 percent after QA. We publish your actual numbers on the engagement dashboard, broken down by document type.
Can you handle handwritten documents?
Yes. We use handwriting-recognition models trained on your document type. The accuracy is lower than printed text, so we route handwritten forms through human review by default unless you tell us otherwise.
What languages do you support?
We process English, Spanish, German, French, Portuguese, Italian, Dutch, Polish, Arabic, Hebrew, Mandarin, Japanese, Korean, and Urdu. The language is detected per page and the right model is used.
Do you store the original documents?
Yes. Every extracted record carries a link to the original document, with a hash and a timestamp. Storage can be on our side or synced to your S3, SharePoint, or equivalent. We delete our copies 30 days after the engagement ends.
Have a document workflow that needs a team behind it?
Send a brief. We come back in 24 hours with a scope, a price band, and a named engineer.
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