Document Handoff: Split a PDF, Check Extracted Text, and Deliver the Right Version
Prepare smaller PDF bundles, choose text extraction or OCR, check a known passage, and make the recipient’s version and access instructions clear.
Keep the source PDF and create separate delivery copies. The useful check is whether the recipient receives the intended pages and readable content, with clear instructions about any extracted text that still needs review.
Tools in this guide
1. Split the packet into explicit page groups
For a six-page packet, open Split Pages, upload the PDF, select By ranges (one file per group), and enter 1-3;4-6. Split and download should produce two PDFs of three pages each. The ranges refer to physical positions in the input PDF, which may differ from printed page labels.
Open both outputs and compare their first and last pages with the source: group one should contain source positions 1 through 3, and group two positions 4 through 6. A small output file alone does not confirm that the right pages were included. Keep the original unchanged until the handoff is accepted.
2. Choose existing text extraction or OCR
In Extract Text from PDF, load Try example, select page range 1, choose TXT, and extract. The result should include ToolsKit PDF text sample page 1 and Record-1: local extraction check. Switch to JSON and extract again to inspect the page records. This reads an existing text layer; it does not recognize scanned images.
If a scanned page has no usable text layer, use PDF OCR instead. Start with one page, choose the document’s language, and run recognition. It exports TXT and JSON and can also create a searchable PDF. The OCR engine and language data download on demand on first use; recognition then runs in the browser.
Neither workflow exports an editable Word document or reconstructs a table as CSV. JSON output contains page text and related records, not a verified spreadsheet table. Keep columns, merged cells, and reading order as separate review tasks.
3. Compare a checked passage before accepting OCR text
Manually verify a short source passage, then compare it with the extracted result in Text Diff. A disposable example is source Invoice 1042: total 128.50 versus OCR Invoice 1O42: total 128.5O. The letter O in place of zero changes identifiers and amounts even when the line looks plausible.
Diff highlights differences between the two inputs; it does not know which version is correct. Check names, dates, amounts, and table rows against the visible PDF. A searchable PDF can retain a convincing page image while its recognized text is wrong, so verify both searching/copying and visual appearance.
4. State the delivery version, access, and deadline
Label the package with a version and page range, such as review-v2-pages-1-3.pdf, and state whether the accompanying TXT is reviewed text or an OCR draft. Give the deadline as a dated UTC instant, and confirm the recipient has access through the sharing service you use.
A QR code can help open the approved link on another device, but anyone who receives it can read the encoded URL. It does not add access control. Configure recipients and expiry in the sharing service; the tools in this workflow do not encrypt or password-protect a PDF.
If an upload portal rejects a file, check its size and format requirements as well as the expected MIME type. Renaming a file or choosing application/pdf in a form does not convert it into a valid PDF. Finish by opening the delivered copy as the recipient would and confirming the page count, version, and links.
Use the tools in this workflow
Split Pages
Create one PDF per page group and inspect the resulting bundles.
Extract Text from PDF
Read the existing text layer into TXT or JSON; no OCR is performed.
PDF OCR
Recognize scanned pages, export TXT or JSON, and optionally create a searchable PDF.
Text Diff
Compare a manually checked passage with extracted or recognized text.