A page you can see,
but cannot extract.
Find image-dominated pages with little text, suspicious characters, and overlapping text layers.
Understand text layers →SOURCE DOCUMENT PREFLIGHT
What looks clear on a page can get lost during AI ingestion. Check text layers, tables, images, and layout before you send your document downstream. Supports PDF, DOCX, PPTX, and XLSX.
No account needed · No LLM key · Source stays unchanged
Text layers
Scans & images
Reading order
Tables
Hidden context
WHAT COULD GO MISSING?
A PDF can look complete and still be difficult to ingest. Preflight surfaces measurable signs that deserve a closer look.
Find image-dominated pages with little text, suspicious characters, and overlapping text layers.
Understand text layers →Spot possible column ambiguity and tables whose row or header relationships need preservation.
Understand extraction risks →See image coverage, annotations, form fields, attachments, and page geometry worth inspecting.
Explore all ten checks →A SMALL CHECK. A CLEARER NEXT STEP.
Keep your existing ingestion tools. Preflight helps you see where they may need extra attention.
How the checks work →Upload one file. The server inspects its text and geometry without rewriting the original.
Findings show affected pages and measured signals, with an explanation of why each may matter.
Consider OCR, visual processing, or structure-aware extraction where the evidence points.
FIELD NOTES
Learn how to distinguish selectable text from scan-like pages, interpret image coverage, and decide whether OCR may help.
Read guide LAYOUT & STRUCTUREUnderstand how columns, tables, visuals, and non-page content can lose meaning during PDF text extraction, with practical review steps.
Read guide INGESTION WORKFLOWCheck source text, tables, layout, and visual content before RAG ingestion. Separate source and extraction problems from retrieval problems.
Read guideBEFORE YOUR NEXT INGESTION
A few measured signals can tell you where to look more closely.
Check your PDF ↗