— Crash Report Conversion Software
Years of paper crash reports.
Cleared in days, not keyed in by hand.
Crash Converter is a service that turns scanned, handwritten, and typed crash reports into structured, MMUCC-compliant data, automatically. It processes 30 reports an hour where a person can typically do three, and feeds the crash system you already run.
Low-Friction Pilot
$980 flat
500 of your own crash reports, converted and validated.
- Bring your messiest paper and handwritten forms
- No DMV connection or barcode dependency
- OCR-extracted data feeds directly to crash form fields
- Reduces field-to-crash form data errors at the source
Years of paper crash reports. Cleared in days — not keyed in by hand.
Crash Converter is an AI service that turns scanned, handwritten, and typed crash reports into structured, MMUCC-compliant data — automatically. It processes 30 reports an hour where a person does three, and feeds the crash system you already run.
- ✓ Bring your messiest paper and handwritten forms
- ✓ MMUCC + your state-schema validation on every record
- ✓ Structured output (XML, JSON, CSV, or Parquet)
- ✓ Scoped to fit typical direct-purchase authority
A person enters about 3 an hour. Crash Converter does 30.
The backlog isn't a staffing problem you can hire your way out of — it's a throughput problem. Here's the difference that makes.
| Manual entry (a person) | Crash Converter | |
|---|---|---|
| Processing speed | ~3 reports/hour | 30 reports/hour |
| 10,000-report backlog | ~417 days | 14 days |
| Availability | ~8 hours/day, with breaks | Runs continuously |
| Validation | Manual, error-prone | Automated MMUCC & state-schema checks |
| Legacy locations | Often dropped as unusable | 90%+ recovered via Crash GeoLocator |
Throughput figures are typical results and vary with form complexity and validation rules. Low-confidence records are routed to human reviewers — your team stays the final authority.
23,000 SWITRS records, pre-analyzed.
For Tulare County, ITIS pre-analyzed 23,000 SWITRS crash records. 81% already had usable locations — and the remaining 19% were recoverable with Crash GeoLocator, instead of being written off as unmappable.
Four steps. No workflow change.
Send us the reports.
Securely transfer scanned PDFs, typed forms, handwritten forms, or images (PDF, JPG, PNG, TIFF). Every submission gets a unique ID and metadata record.
AI extracts the data.
Containerized AI trained specifically on crash forms — not generic documents — classifies each form and pulls the field data.
It validates to MMUCC.
Every record is checked against MMUCC and your state schema. Anything low-confidence is flagged for human review through a secure web interface.
You get clean data.
Validated records delivered to your repository or warehouse, or exported as XML, JSON, CSV, or Parquet.
We don't replace your crash system. We feed it.
Crash Converter is the ingestion layer that sits upstream of whatever you already run. The structured data it produces flows into your existing crash management and analytics systems — or your own data warehouse. Nothing to rip out, nothing to displace. You get cleaner data, faster, into the system your team already knows.
Built for state and federal audit scrutiny.
Proprietary models — not public AI.
Our OCR models are proprietary, trained on crash-form data, and not publicly available. Your crash data is never sent to a public AI service.
Secure cloud processing.
All processing occurs within a secure cloud-hosted environment with certificate-based access and vaulted secrets — no loose passwords.
PII controlled end to end.
Personally identifiable information is classified and tagged throughout the pipeline to support masking, retention, lineage tracking, and state privacy and audit rules.
You stay the final authority.
Low-confidence and rule-inconsistent records route to your reviewers. Reviewer feedback continually improves the model — but no record clears without meeting your threshold.
Built for the agencies that own the crash report.
State DOTs & Traffic Records Offices
You run the statewide crash repository and you're hand-keying paper submitted by local agencies. Clear the backlog, automate ongoing intake, and walk into the next NHTSA Traffic Records Assessment with current, MMUCC-validated data.
Counties & Public Works
A backlog of paper reports, no dedicated data-entry staff, and an HSIP or Safe System commitment that needs analysis-ready crash data. Convert it without hiring.
Records Managers & Traffic Records Directors
Clear the backlog, relieve FTE pressure, and produce timely, MMUCC-compliant data your grant evaluation reporting depends on.
MPOs & Vision Zero Cities
You aggregate crash data across member agencies submitting in mixed formats. Standardize it once, for everyone — so your action plan and public dashboard are credible.
What buyers ask first.
Our crash forms are handwritten — OCR can't read those.
That's exactly why there's a confidence threshold and a human review queue. The clean majority is processed automatically; messy or ambiguous records are flagged for your reviewers. You use AI to handle the easy volume so your experts only touch the hard cases.
We already have a crash management system.
Good — keep it. Crash Converter feeds it. The bottleneck isn't your database; it's getting messy paper into it as clean, validated records. We're the layer that does that, upstream of whatever you run.
Our IT team could build this with off-the-shelf OCR.
General OCR reads text. It does not understand MMUCC fields, state-specific form layouts, crash-domain validation, or a human review workflow — and it isn't trained on crash forms. Building that is a 12–18 month engineering project most agencies don't have the staff for. This is production-ready now.
Will our security team approve AI on crash data?
The models are proprietary and not public — your data never goes to a public AI service. Processing is in a secure cloud environment with certificate-based access and vaulted secrets, and PII is classified and tagged for masking, retention, and lineage. We provide documentation for your security review.
Is this an eligible grant expense?
Data infrastructure that directly supports safety analysis, action planning, and evaluation is generally eligible under programs like SS4A and HSIP. Verify with your grant administrator — we'll provide budget-justification language tied to your evaluation strategy.
Convert 500 of your reports for $980.
Bring your messiest paper and handwritten forms — that's the point of the pilot. We respond within one business day with a pilot scope.