Extract Data from PDFs.
Trust Every Result.
Elvity runs multiple AI vision models in parallel, cross-checks every extracted value, and delivers structured CSV output — automatically routing uncertain fields to a human reviewer so you ship clean, reliable data, every time.
* Human review is triggered automatically only when LLMs disagree beyond the confidence threshold.
Why PDF extraction is hard to trust
Standard OCR and single-model AI extractors are fast — but not reliable enough for financial data, legal documents, or anything that matters.
Complex, multi-page PDFs nobody can auto-parse
Invoices with line items spanning pages, scanned contracts, and handwritten forms all break naive extraction tools.
Single-model extraction gets it wrong silently
One LLM extracts a total as $4,500 when it should be $45,000 — and nobody knows until the downstream system is corrupted.
Manual re-keying costs 40 hours of work a week
Your team copies numbers from PDF viewers into spreadsheets or ERPs — error-prone, soul-crushing, and completely unnecessary.
One model guesses. Three models know.
Elvity's extraction pipeline is deterministic: AI runs the extraction, but math and human judgment verify it. Every value has a traceable audit trail.
Three vision LLMs, running in parallel
GPT-4o Vision, Claude 3.5 Sonnet Vision, and Gemini 1.5 Pro Vision each extract every field from your PDF independently — no coordination, no bias bleeding between them.
Consensus cross-check on every value
Elvity compares all three outputs field by field. When all three agree above the confidence threshold, the value passes automatically. No human needed.
Mathematical checksums as a second layer
Totals are verified against the sum of their line items. If a model misreads a comma as a decimal point, the checksum catches it — even if two models agreed.
Automatic human escalation on disagreement
When models disagree or the checksum fails, the field is routed to a human reviewer instantly. They see the source PDF and extracted values side by side, with confidence scores for each model.
Extraction Decision Flow
AI Extraction. Human Verification.
Elvity doesn't just extract — it cross-checks every value across multiple vision LLMs, then automatically pulls a human into the review loop so nothing is accepted blindly.
Multi-Engine Cross-Check
Every extracted value is independently verified by multiple AI engines. Only values that agree across engines pass — disagreements are flagged immediately.
Human Operator Review
Operators audit each extracted value directly in context — seeing the source document and the extracted value side by side, with a confidence score per engine.
Accept or Reject Per Field
Each field can be individually accepted or rejected. Rejections feed back into the engine to continuously tighten accuracy over time.
Works on any PDF format
If it comes as a PDF, Elvity can extract it reliably.
Invoices & Purchase Orders
Line items, totals, vendor IDs, PO references — extracted and validated against mathematical checksums automatically.
Contracts & Legal Docs
Pull key dates, parties, clauses, and obligations from multi-page contracts without manual review.
Medical & Lab Reports
Extract structured data from FHIR-adjacent PDFs, lab results, and patient intake forms with full audit trails.
Bank Statements & Receipts
Reconcile transactions from scanned statements or JPG receipts with confidence scoring on every value.
Extracted. Verified. Delivered.
Once Elvity extracts and validates your PDF data, it pushes clean, structured records directly into the system you already use — no copy-paste, no export steps.
Databases & Warehouses
Spreadsheets & Files
CRM & Business Apps
Don't see your system? Elvity supports any destination with a REST API or JDBC connection.
Stop re-keying PDFs.
Start trusting your data.
See how Elvity extracts, cross-checks, and delivers clean structured data from any PDF — in minutes.