How PDFit.tools Tests Document Conversions
See how PDFit.tools checks converter routes, file signatures, page operations, Word and Excel outputs, OCR workflows, limits, and production health.
PDF conversion quality depends on the source document, so no automated test can prove that every possible file will look perfect.
PDFit.tools combines automated checks with representative-document review and publishes practical limits so visitors can make an informed choice.
Automated route and output checks
The regression suite submits representative text, CSV, image, PDF, encrypted-PDF, form, and mocked OCR inputs to the same Flask routes used by the website.
- Successful PDFs must return the PDF MIME type and begin with a valid PDF signature.
- Word and Excel downloads are reopened with document libraries and checked for expected content.
- ZIP archives are opened and their ordered output files are inspected.
- Page operations verify page counts, sequence, rotation, removal, and extracted text.
- Error cases verify clear responses for unsupported files, invalid selections, excessive pages, and incorrect passwords.
OCR checks
OCR tests cover TXT, searchable PDF, Word, and Excel response types, page selections, and normal or higher-quality controls. Representative bilingual review focuses on English and Greek text, while runtime page and pixel limits protect the hosted service from unsafe workloads.
Production checks
A source commit or successful Git push is not treated as proof that the website is live. Releases are followed through Render, then the canonical domain, health endpoint, ads.txt declaration, metadata, and representative downloads are checked again.
What users still need to review
Fonts, scans, tables, columns, encryption, forms, annotations, and unusual PDF structures can behave differently from representative fixtures. Important downloads should be opened and compared with the source before the original is replaced or the result is submitted elsewhere.
Review checklist
- Confirm the output opens in its intended application.
- Compare page count and page order.
- Review small text, images, tables, and special characters.
- Proofread OCR names, numbers, and accents.
- Keep the original until the result has been accepted.