Catch risky or low-confidence values before they become downstream mistakes.
Review Studio
Turn extracted rows into trusted outputs.
Extraction is only the first step. Review Studio gives your team a clear workspace to inspect rows, fix values, resolve issues, and approve clean data before it is stored or exported.
Where extraction still needs judgment
Review is built for the decisions automation should not hide.
Most document workflows break after extraction, not before it. Teams still need a reliable way to verify what was captured, correct what is wrong, and move forward with confidence.
Fix cells and rows without leaving the workflow.
Keep reviewers focused on what needs attention instead of scanning everything equally.
Use Copilot to speed up cleanup while still approving the final result yourself.
Move approved output into datasets or exports without rebuilding the work elsewhere.
How teams move through Review
A practical workflow for approval-based cleanup.
01
Open extracted data
Documents arrive in Review as structured rows instead of raw files and guesswork.
02
Inspect and correct
Reviewers edit cells, adjust rows, and check flagged or suspicious values in context.
03
Use Copilot where it helps
Ask for fixes, inspect suggestions, and apply only the updates that make sense.
04
Approve and move forward
Once the output is trusted, append it to a dataset or export it in the required format.
Inside Review Studio
What teams can do while approving output.
Spreadsheet-style editing
Edit extracted cells and rows directly in one review workspace instead of moving data into another tool just to fix it.
Issue-first cleanup
See where problems exist and work through exceptions systematically instead of reviewing every value the same way.
AI-assisted correction
Use Copilot suggestions to fix repetitive problems faster while keeping approval in human hands.
Row-level actions
Insert rows, remove rows, and manage table content without breaking the review flow.
Source-aware review
Keep the original document context visible while reviewing extracted output so decisions stay grounded in the source.
Structured next steps
Append reviewed data to datasets or export it once the output is ready.
Where it fits
Review sits at the center of the product workflow.
Review sits between extraction and every meaningful next step.
Review Studio is where incoming documents become trustworthy records. Documents feed into review. Copilot accelerates cleanup inside review. Approved rows then move into datasets, templates, and exports.
Workflow
Documents -> Review -> Datasets / Templates -> Exports
Why teams use Review Studio
Better quality without slower operations.
Review helps teams move faster because it replaces scattered cleanup work with one dedicated approval surface. Instead of fixing data after the fact in spreadsheets or emails, teams resolve quality issues before output leaves the system.
What makes it different
Not just extraction. Not just a spreadsheet.
- Reviewers spend less time retyping and more time validating the right exceptions.
- Approved outputs are easier to trust because they pass through a dedicated correction layer.
- AI helps speed up the work, but final decisions stay visible and controlled.
- The handoff to datasets and exports is cleaner because review happens before final delivery.
Move from extraction to approved data faster.
Review Studio is where teams turn automation into usable output. Start there if accuracy, trust, and final approval matter in your workflow.