How to transcribe › Project-Eyes-On

How to transcribe Project-Eyes-On recordings

Project-Eyes-On makes the recording — Whipscribe makes it text. Three steps, and the first preview is free with no signup.

The three steps

1

Get the audio out. Copy the clip off Project-Eyes-On (any common video format) and upload it as-is.

2

Drop it below. Upload the file right here — no signup for the instant preview. Long, multi-hour files are fine, and video uploads work too (we transcribe the audio track).

3

Take the text with you. Accurate, speaker-labeled text with timestamps — export TXT, SRT, VTT or DOCX, in 100+ languages, processed on Whipscribe's own private cloud.

About Project-Eyes-On

“Project Eyes On is a high-speed, multi-threaded surveillance tool by Y0oshi (@rde0) for locating open IP cameras worldwide. Unifies Google Dorking and Directory Scraping into a single OSINT engine.”

GitHub stars
169
Built in
Python
Category
Cameras Capture

Project-Eyes-On facts & alternatives →  ·  GitHub ↗

Frequently asked

Can Whipscribe transcribe footage captured with Project-Eyes-On?

Yes — any audio or video file Project-Eyes-On produces can be uploaded directly. Copy the clip off Project-Eyes-On (any common video format) and upload it as-is.

Do I need to convert the file first?

No. Common audio and video formats upload as-is; video's audio track is transcribed automatically.

How accurate is it?

Clear speech in major languages comes back near-publishable; noisy or heavily accented audio deserves a review pass. The instant preview shows real output before you commit.

What does it cost?

About $2 per audio hour as pay-as-you-go credits that never expire — the first preview is free with no signup.