Stop re-keying title documents. Start closing faster.
TitleOCR uses AI-powered Optical Character Recognition (OCR) to extract data from deeds, liens, and legal descriptions — eliminating manual entry and reducing errors across your entire title production workflow.
The real cost of manual processing
Every keystroke costs you. TitleOCR eliminates them all.
Manual re-keying burns hours, breeds errors, and buries your best people in busywork. TitleOCR extracts every data field automatically — so your team can focus on what matters.
The Problem - Manual title processing is drowning your team.
Title companies lose thousands of hours each year to manual data entry, document re-keying, and error remediation. As transaction volumes grow, the bottleneck only deepens.
- of title staff time spent on data entry
- 68%
- average error rate in manual indexing
- 23%
- per file for manual document processing
- 4.2hrs
- annual cost per FTE on re-keying tasks
- $47K
How It Works - From document to data in seconds, not hours.
TitleOCR automates the entire document intake pipeline so your team can focus on closings, not keystrokes.
01
Upload
Drop title documents — deeds, liens, mortgages, legal descriptions — in any format: PDF, TIFF, or scanned images.
02
AI Extract
Our OCR engine, trained on millions of title documents, reads and extracts every data field automatically.
03
Auto-Populate
Extracted data flows into your existing workflow — structured, validated, and ready to populate your title production system in seconds.
04
Flag & Verify
AI flags inconsistencies, missing data, and potential issues for human review before commitment.
Solutions - AI and OCR shaped around your workflow.
We work with each title company to integrate automation into their unique process — not the other way around.
- AI-Trained Document OCR. Models trained on millions of recorded instruments — deeds, mortgages, liens, easements — for industry-leading extraction accuracy.
- Legal Description Parsing. Automated extraction of metes and bounds, lot/block, and section/township/range descriptions from any document format.
- Deed & Lien Extraction. Grantor/grantee, recording info, consideration amounts, and encumbrance details extracted automatically from recorded instruments.
- Automated Indexing. Documents classified, indexed, and tagged without manual intervention — reducing processing time per file by hours.
- Bulk Processing. Process hundreds of documents per batch. Scale from single files to county-level bulk imports with consistent accuracy.
- SOC 2 Ready. Enterprise-grade security architecture. Data encryption at rest and in transit. Role-based access controls and audit logging.
Measured Impact - Results from title companies using TitleOCR.
Our customers consistently report dramatic improvements in speed, accuracy, and staff capacity within weeks of deployment.
- Reduction in manual data entry
- 85%
- Increase in file processing capacity
- 3x
- Average time from upload to populated file
- 12min
- Data extraction accuracy rate
- 97.4%
We asked title companies what slows them down most. The answer was always the same — manual data entry. So we fixed it.
TitleOCR Founding Team
Purpose-built for title company workflows
Professional Services - Expert guidance for your title automation journey.
Beyond software, our team of automation specialists helps you optimize workflows and maximize your return on automation.
- Workflow Assessment. We analyze your current title production process end-to-end and identify where automation delivers the highest impact.
- Custom OCR Tuning. Fine-tune extraction models for your specific document types, county formats, and data field requirements.
- System Integration. Connect TitleOCR to your title production platform, document management system, and recording workflows.
- Enterprise Deployment. Multi-office rollout, SSO configuration, role-based access controls, and comprehensive staff training programs.
Ready to eliminate manual data entry?
We tailor TitleOCR to your team's unique workflow — not the other way around. Let's talk about what that looks like for you.