Selectable PDF text
Some PDFs contain embedded text that can be extracted directly. This is usually the cleanest path, but it still needs inspection because formatting, columns, equations, and tables may not extract perfectly.
Example workflow
Example: using PDF and OCR text as AI context.
AI answers are only as reliable as the material the model can actually read. This example shows how Protaimé treats extracted PDF text and OCR text as inspectable project context before it is used in an AI workflow.
PDF Extraction
Inspectable Text
OCR and AI Vision
Scenario
The user has a PDF, but the useful text may not be obvious.
A document can look readable to a human while still being difficult for software to extract cleanly. Some PDFs contain selectable text. Others contain scanned pages, screenshots, figures, tables, or mixed content that needs OCR or vision processing.
Image-based PDF pages
A scanned PDF may have no usable text layer. In that case, the page can require OCR or AI Vision before the content becomes available as context.
Figures, tables, and captions
Even when a document has text, important details may be inside figures, tables, diagrams, or captions. Those details should not be assumed unless they are actually extracted or inspected.
Workflow
How extracted text becomes usable AI context in Protaimé.
The point is not merely uploading a document. The point is seeing the extracted text, improving it when needed, and deciding whether it is reliable enough to use as AI context.
1
Upload the document
Add the PDF, scanned file, image, or source document to the project where the related AI work will happen.
2
Extract available text
Protaimé stores extracted text separately from the file so the user can inspect what was actually recovered from the document.
3
Enhance the extraction when needed
Use Enhance with AI to clean extracted text from PDFs and documents. Use Enhance with AI Vision when the important content is visual, scanned, or image-based.
4
Save the improved context
Review, edit, and save the improved text so future prompts, reviewed workflows, and project-backed answers can use a cleaner source layer.
Example extraction problem
A readable page does not guarantee clean AI context.
This simplified example shows why inspectable extracted text matters. A human may see a normal technical document, while the extracted text may omit structure, scramble table values, or miss figure details.
Original document section
"Table 2 compares the baseline method, reviewed AI workflow, and source-checked workflow. The reviewed workflow reduced unsupported claims, but source checking remained necessary for factual claims."
Possible poor extraction
"Table 2 compares baseline reviewed source checked unsupported claims necessary." The important relationship is now unclear, and the AI may draw the wrong conclusion.
AI-assisted cleanup
If the extracted text is mostly correct but too messy to fix by hand, Enhance with AI can clean the text while preserving the source content for later review.
When it matters
Inspectable text is most important when source material drives the answer.
If the AI answer depends on a document, the user should be able to check what the model is being asked to rely on.
Technical and scientific PDFs
Equations, tables, figure labels, and captions can be central to the answer. Extracted text should be reviewed before being treated as reliable context.
Scanned documents
OCR can make scanned material usable, but OCR can also misread text. Inspection helps catch errors before they enter the AI workflow.
Project documentation
Product specs, notes, reports, and design documents can be kept in the project so future tasks use the same inspected source material.
Why this changes the AI workflow
The user should know what the AI actually saw.
Uploading a file is not the same as giving AI complete and accurate understanding of the file. Protaimé is designed to make the extracted material visible so the user can catch missing text, weak OCR, or source gaps.
Inspect before asking
Check extracted text before relying on an answer that depends on the document.
Correct when needed
If extracted text is incomplete or distorted, the user can adjust the context instead of unknowingly sending bad material into the workflow.
Preserve the context record
Keeping extracted text and source material attached to the project makes the answer easier to review later.
Use documents more carefully with AI
Inspect PDF and OCR text before it becomes AI context.
Use Protaimé to keep project files, extracted text, OCR material, source context, and reviewed AI answers organized in one workspace.