--- title: "Let reviewers open the exact page behind an extracted field | R&D COPILOT" lang: en canonical: https://rdcopilot.com/insights/document-ai-page-evidence-review/ content_version: e816c092e19cc89c8eea040379c14b1028a89c9539e610ca880cd8db380299f0 contact: https://rdcopilot.com/contact/ --- [RDC](https://rdcopilot.com/) [Insights](https://rdcopilot.com/insights/)Document Workflows Document WorkflowsWorkflow # Let reviewers open the exact page behind an extracted field A reviewer should be able to check an extracted value without searching through the whole file. We connect each field to the relevant page and region, then preserve the surrounding context needed to decide whether it is correct. This turns document review into a deliberate comparison and creates a correction history that remains useful when the record reaches another system. By R&D COPILOT6 October 20265 min read In this guide 1. [Design around the reviewer's actual question](https://rdcopilot.com/insights/document-ai-page-evidence-review/#guide-section-1) 2. [Preserve coordinates through document changes](https://rdcopilot.com/insights/document-ai-page-evidence-review/#guide-section-2) 3. [Record corrections without erasing the original](https://rdcopilot.com/insights/document-ai-page-evidence-review/#guide-section-3) 4. [Keep review access as narrow as the task](https://rdcopilot.com/insights/document-ai-page-evidence-review/#guide-section-4) 5. [Test the journey from field to evidence](https://rdcopilot.com/insights/document-ai-page-evidence-review/#guide-section-5) 6. [Scope the review screen with real reviewers](https://rdcopilot.com/insights/document-ai-page-evidence-review/#guide-section-6) [Sources & inspiration](https://rdcopilot.com/insights/document-ai-page-evidence-review/#guide-sources) ## Design around the reviewer's actual question The reviewer usually needs to know whether the value belongs to this row, whether its unit is correct and whether an exception changes its meaning. A tiny crop can hide that context. Show the field, supporting region and enough neighboring content together, with a clear path to the full page and the next uncertain field. Watch a reviewer correct a multipage invoice before designing shortcuts. They may need to compare a line's unit price with a header on the previous page or distinguish a subtotal from the amount due. Place those references within reach. Prioritize the uncertain fields that block the business result, while allowing the reviewer to inspect other fields when the evidence suggests a wider problem. A queue organized only by extraction order may hide the best review sequence. ## Preserve coordinates through document changes Rotation, cropping and page conversion can break a field's location if the coordinate system is not recorded. Keep the source file identity, page number and transformation information with extraction output. For a table spanning pages, connect the value to its row and relevant headers. The viewer must remain aligned with the document version actually processed. Record whether coordinates refer to the original image, a rendered page or a transformed intermediate file. Test them after rotation and scaling, including high-density mobile displays if those are supported. Keep page identity stable when documents are combined. For continued tables, the evidence link may need more than one region: the value on one page and a heading on another. The interface should make that relationship explicit rather than highlighting an isolated number. ## Record corrections without erasing the original Keep the extracted value and the reviewed value separately, together with the reviewer decision. A correction may fix a character or choose a different interpretation; those are different events. If the source changes, mark the affected review as needing attention. Do not let a new extraction silently overwrite a value that someone already approved. Use a correction event with the prior value, new value, reviewer and relevant source reference. A reason can be required for consequential changes without making every minor correction burdensome. Distinguish approving extraction from approving the resulting business transaction. If another reviewer changes the same field, show the conflict and current version. This prevents an outdated browser tab from silently replacing a more recent reviewed value when the first reviewer finally saves. ## Keep review access as narrow as the task A field-level task may not require unrestricted access to every document in the queue. Define the teams, document types and actions each reviewer can use. Download and export controls need attention alongside viewing rights. For EU workflows, include the retention of page previews, extracted text and correction history in the data-handling decision. A review assignment can be limited by document type, business unit or specific batch. Test whether direct file URLs and exported previews respect the same boundary as the queue. Decide whether a supervisor can reassign work and whether that exposes earlier corrections. Source images can contain information outside the selected field, so cropping is not automatically an access-control mechanism. The authorization decision must match what the viewer can actually reveal. ## Test the journey from field to evidence Use rotated pages, repeated table headers, faint numbers and multiple similar values. Ask reviewers to correct the same cases with and without the proposed evidence view. Record time to locate evidence, mistaken row selection and correction reversals. Accessibility matters here: keyboard movement, zoom and readable contrast affect how reliably the reviewer works. Build tasks that require finding the right row among repeated amounts, checking a value under a stamp and interpreting a split table. Observe navigation rather than asking only whether the interface looks clear. Count incorrect confirmations and time spent opening surrounding context. Test keyboard focus after saving a correction and zoom behavior when moving to the next field. A fast shortcut is useful only if it keeps the reviewer oriented to the correct evidence. - Test source coordinates after rotation, cropping and scaling against the exact document version shown to the reviewer. - Show table headers and neighboring rows when a highlighted number alone cannot establish the field's meaning. - Keep extracted and corrected values separately, including the decision that approved the currently exported version. - Observe keyboard navigation and context-opening time on repeated amounts, stamps and tables continued across pages. ## Scope the review screen with real reviewers Bring difficult documents and the corrections your team actually makes. We can prototype the field list, page view, review actions and history before connecting exports. Agree which decisions can be made individually and which need a second reviewer. The implementation estimate should cover usability testing and coordinate validation as well as the extraction service. The first delivery can include an extraction result adapter, a page viewer and a limited set of review actions. Agree the review record that downstream systems will receive before building an elaborate dashboard. We can test the interaction with the people who do the work and adjust navigation from observed corrections. The quote should name supported document formats, evidence-coordinate handling and the circumstances that require reapproval after a source or value changes. Inside the product ## Document Workflows [![Prepared invoice with reconciled totals and all four checks complete.](https://efactura.rdcopilot.com/product-demos/efactura/gallery-detail-en.png)View full size](https://efactura.rdcopilot.com/product-demos/efactura/gallery-detail-en.png) Prepared invoice with reconciled totals and all four checks complete. [![Invoice preparation workspace with parties, reference and completeness checks.](https://efactura.rdcopilot.com/product-demos/efactura/gallery-overview-en.png)View full size](https://efactura.rdcopilot.com/product-demos/efactura/gallery-overview-en.png) Invoice preparation workspace with parties, reference and completeness checks. Swipe or use the arrows to explore. Image 1 of 2 Follow the references ## Sources & inspiration ### [InvoiceFlow AI](https://devpost.com/software/invoiceflow-ai-l1ue7t) Devpost project by Coolieo Bowley Invoice approval handoffs. This independently created project is credited as inspiration. The workflow and implementation guidance in this article are RDC’s analysis. - [Google Cloud Document AI: evaluate performance](https://docs.cloud.google.com/document-ai/docs/evaluate) Put the guide to work ## Start with your workflow. Tell us what your team needs to do, which systems are involved and where the current process slows down. [Discuss your project](https://rdcopilot.com/contact/?service=document-ai-pilot) [Explore Document Workflows](https://documents.rdcopilot.com/) Document Workflows ## Keep exploring. [All guides](https://rdcopilot.com/insights/) Decision guide ### [Evaluate document AI on the files your team actually receives](https://rdcopilot.com/insights/document-ai-evaluation-real-files/) Evaluate document AI against checked real files, field errors and reviewer effort, then choose extraction and review rules from evidence your team can inspect. [Read guide](https://rdcopilot.com/insights/document-ai-evaluation-real-files/) How-to guide ### [Move approved document data into ERP without losing its history](https://rdcopilot.com/insights/document-workflows-approved-data-handoff/) Move reviewed document data into ERP through an explicit mapping, approved snapshot and destination acknowledgment, with recovery for rejected or uncertain writes. [Read guide](https://rdcopilot.com/insights/document-workflows-approved-data-handoff/)