Bring files into one intake workflow instead of juggling uploads and email attachments.
Features
From uploaded documents to approved data.
DataEntryLM helps teams move from messy files and manual typing to a review-first workflow. Upload documents, let AI extract structured rows, review what matters, organize approved data, and export clean outputs with confidence.
What it helps with
Built for teams doing real document work.
Most teams do not struggle because they lack OCR. They struggle because document data still has to be checked, corrected, organized, and handed off in the right format.
Turn extracted rows into trusted data with a dedicated review surface.
Use Copilot to speed up repetitive cleanup without giving up approval control.
Keep approved data reusable in datasets and repeatable through templates.
Export and deliver final outputs in the formats teams already use.
How it works
One workflow, from intake to handoff.
01
Upload documents
Bring in PDFs, scans, screenshots, or other incoming files and track them in one place.
02
Extract structured rows
DataEntryLM processes documents and turns them into usable rows for review.
03
Review and correct
Review Studio helps your team inspect results, fix issues, and approve what matters before anything moves forward.
04
Organize and reuse
Store approved data in datasets, standardize repeated workflows with templates, and keep structure consistent over time.
Explore the workflow
Each feature plays a clear role.
Start with the point where your team feels the most friction today, then follow the workflow forward.
Documents
Bring files into the system, track intake, retry failed processing, and move directly into review.
Explore DocumentsReview
Inspect extracted rows, fix values, resolve issues, and approve clean outputs before they go anywhere else.
Explore ReviewCopilot
Ask for fixes in plain English, inspect suggestions, and apply changes only when your team approves them.
Explore CopilotDatasets
Keep approved data organized, searchable, and reusable beyond a single document or batch.
Explore DatasetsTemplates
Standardize repeated document workflows with reusable structure, schema patterns, and export setup.
Explore TemplatesExports
Track export jobs, download ready outputs, retry failed ones, and manage final delivery history.
Explore ExportsIntegrations
Connect approved outputs to downstream workflows through reusable delivery patterns and integration-ready handoffs.
Explore IntegrationsSecurity & Control
Manage roles, settings, billing, and workspace controls so teams can scale use of the product safely.
Explore Security & ControlWhy review-first matters
Automation helps first. People stay in control.
Extraction alone does not make data trustworthy. Teams still need to verify risky values, correct inconsistencies, and decide when output is ready to use. DataEntryLM is designed around that reality: AI accelerates the work, while reviewers keep final control over what gets approved, stored, and exported.
What teams gain
Stronger outputs without losing operational control.
- Reviewers focus on exceptions instead of retyping everything manually.
- Copilot suggestions stay approval-based, not automatic.
- Final outputs are cleaner because they pass through a dedicated review step.
- Teams can scale document processing without losing confidence in the result.
See the full workflow in action.
Start with the feature that matches where your team feels the most friction today, then follow the workflow through review, structure, and export.