Clean_Name

About Clean_Name

Clean_Name solves one small, universal annoyance: PDFs that arrive named scan0001.pdf, document.pdf, final_final_v2.pdf, or IMG_4567.pdf. You drop a PDF into the browser, it runs OCR (the vendor names Azure AI as the text-extraction layer), reads what the document actually is, and returns a descriptive filename — Invoice-89234-Amazon-Nov2024.pdf, Service-Agreement-Microsoft-2024-2026.pdf, Lab-Results-Cholesterol-Panel-Oct2024.pdf. There is no signup, no account, and no cost; the constraints are one file at a time, a 5MB limit, and PDFs only. The privacy posture is the reason to prefer it over a generic uploader: documents are processed in Switzerland and the EU and discarded as soon as processing finishes, with revDSG and GDPR compliance claimed and no document storage at all. It is a free front door for Filently, the paid product from the same team, which extends the same idea into full automation — learning your naming conventions, then naming and filing every incoming document into the right folder in your own Google Drive, at up to 100MB per document. Filently reports 700+ professional users and CASA Tier 2 certification under Google's App Defense Alliance. Clean_Name on its own is genuinely useful standalone, which is what makes it a well-built lead magnet rather than a crippled demo.

Key Features

Tags