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Ignyte AI · Redaction preview

See the redaction before you ship.

Upload a file and watch the pipeline work, live: on one side your document as you know it, on the other the version Ignyte would list on the marketplace — personal data stripped, structure and value preserved. This is the exact treatment every contributing file gets before sale.

0 uploads — runs on your machine 27 languages 20+ entity types <30s to a verdict

01 — Try it on your file

Drop
the file.

Text, CSV, JSON or Markdown read as-is. PDF and Word are converted to text first — the redaction model is text-only, so images and audio are out of scope for this demo.

  • Your file never leaves your browser for this preview. There is no upload endpoint on this page.
  • Nothing is logged, stored, or sent anywhere — the scan runs on-device, in this tab.
  • Close the tab and it's gone. The only thing cached is the redaction model itself.
Redaction engine loads on first scan · cached after that

03 — What gets redacted

Gone.
And what stays.

Every scan looks for the same taxonomy — twenty entity types plus checksum-validated identifiers, across 27 languages. These are the exact labels a marketplace listing shows in place of personal data. Hover any one to see what it covers.

Names

[GIVEN_NAME]First names [SURNAME]Family names

Contact

[EMAIL]Email addresses [PHONE]Phone numbers, any format [URL]Web & intranet links [IP_ADDRESS]IPv4 / IPv6 addresses

Financial

[CREDIT_CARD]Card numbers — Luhn-checked [BANK_ACCOUNT]IBANs & account numbers [ROUTING_NUMBER]Routing / sort codes [TAX_ID]VAT & tax identifiers [SSN]Social security numbers

Identifiers

[GOVERNMENT_ID]National ID numbers [PASSPORT]Passport numbers [DRIVERS_LICENSE]Driving licence numbers [IMEI]Device identifiers

Address

[STREET_NAME]Street & road names [BUILDING_NUMBER]House / building numbers [SECONDARY_ADDRESS]Apt, unit, floor [CITY]Cities & towns [STATE]States, provinces, regions [ZIP_CODE]Postal codes
Kept — by design

Company names

Organisations are detected and left alone: a company is not a natural person. If a listing needs them gone too, one switch strips them as well.

Kept — by structure

Rows, commas, braces

Values are replaced in place, so CSV columns and JSON objects stay machine-readable. What ships to the marketplace still parses.

Kept — by precision

Everything else

Dates, amounts, product codes — and 9 in 10 rows that contain no personal data at all — come back untouched. Redaction without the false-positive churn.

04 — Privacy

Nothing
leaves the page.

This preview exists to be checked, not trusted. Every claim below is verifiable in your browser's network tab: no request ever carries your document.

01

On-device scan

The file is read into memory in your tab and redacted by a model running on your hardware. There is no upload endpoint — nothing to intercept, nothing to breach.

02

Nothing retained

No filename or extracted text is logged, stored, or sent anywhere. Close the tab and the document is gone; the only cached artefact is the model itself.

03

Verifiable, not promised

A Content-Security-Policy pins every request this page can make to itself and the model host — no analytics, no telemetry. The PDF and Word converters are open-source pdf.js and Mammoth, executed locally in your browser.

05 — Waitlist

Like what
you just saw?

This preview is the first stage of the Ignyte pipeline running on your machine. On the platform, the same treatment scales to gigabyte-scale datasets — with provenance, scoring, and payment on every surviving row. Join the waitlist and bring the raw data.

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