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Privacy Guide2026-08-11·Digital Footprint Health Team

100% On-Device Analysis: What It Means for You

X/Twitteron-device analysisprivacy scantweets.js

When your X archive (tweets.js) gets parsed, does the file leave your computer? That is the dividing line in privacy scanning. Digital Footprint Health runs on-device analysis: the entire parse happens locally, tweets.js is never uploaded, never stored, never routed through any server. This post explains what "generated on your machine" actually means, and why it changes the privacy calculus.

What 100% on-device parsing means

Most online services process your data as: upload, parse on server, return results. Your tweets.js passes through their servers, and even with a "we do not keep it" promise, the file left your control in transit. On-device analysis is different: the parsing code runs inside your own browser. From file open to report out, the data never leaves your device.

Three consequences follow. No upload means nothing to intercept. No server means nothing to retain. No transfer means no third party ever gets a handle on it. The essence of local analysis privacy is swapping "trust this company" for "depend on no company".

Why this matters for archive files specifically

An X data archive is close to a complete copy of your online life: every tweet, timestamp, device, possibly locations. A leak of that file is far more serious than a leaked single tweet. Handing it to an online service that promises to delete it after processing is essentially betting on that promise.

On-device parsing dissolves the problem: the file needs no intermediary, so there is no "how does the other side handle it" step. Your archive only ever talks to your browser. That is the core value of the no upload archive model.

On-device vs server-side parsing

DimensionOn-deviceCloud
File leaves your deviceNoYes
Server-side retentionNoneDepends on their policy
In-transit riskNo transferInterception surface
Result accuracyIdenticalIdentical
Best fitAny, especially sensitive archivesOnly with careful trust review

The key takeaway: the parse results are the same. The difference is entirely in the data-security boundary. When the output is identical, why not pick the safer boundary?

What else on-device parsing means

  • No account needed: no account system, no data tied to an identity
  • Works offline: parsing relies on browser capability, reports generate without a network
  • Instant results: no server queue, results in seconds
  • No trail: no cloud report storage, the report lives only in your browser

FAQ

Does on-device analysis really never upload?

Yes. The parsing code runs locally in your browser, and the tweets.js file never leaves your device. No upload action means no server involvement.

Is the result as accurate as cloud parsing?

Identical. The logic is the same; on-device just moves the execution from a server to your browser.

Can I use it offline?

Yes. On-device parsing does not depend on a server, so the scan works without a network connection.

Where is my report stored?

The report is generated in your browser memory and your local downloads. We do not offer cloud report storage, and report content is never uploaded.

Upload your archive on the homepage to start the scan, your data never leaves your computer. New to the concept? Read What Is a Digital Footprint Check first.

Frequently Asked Questions

What does 100% on-device analysis mean?

Your X archive is parsed and scanned locally in your browser — the data never touches any server. Only when you explicitly delete does the tool call X's official write API.

Is my X archive uploaded to a server?

No. Decryption and scanning happen entirely on your device; the tool does not store or upload your tweet content.

How is my data protected during analysis?

The archive is stored locally with encryption whose key never leaves your device. Deletion requests only carry the necessary tweet IDs through official authorized APIs.

Check your own X/Twitter footprint

Free on-device scan. Your archive never leaves your computer.

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Published on 2026-08-11. Last updated 2026-08-11.