What happens after I drop a file?

Upload & Validation

Files stream directly from your browser to our EU-based servers over encrypted connections. We validate file size, format, and integrity before accepting the upload. If any check fails, the upload is immediately rejected with a clear error message.

Batch uploads are subject to your tier's limits—we cap both file count and total size to ensure fair resource distribution.

Credit Debit & Queueing

Once validated, each file becomes a job. We verify you have sufficient credits (or daily allowance for free tier users) before queueing. Credits are debited when a worker starts processing—not when the job enters the queue. If the job fails at any point after debiting, credits are automatically refunded.

Jobs enter a queue managed by our fair scheduler. Paid users get priority (Business, Pro, then Free), but no single user can monopolise workers. Within each tier, jobs are distributed fairly—not first-come-first-served.

Processing

A worker picks up your job and processes it using our optimised pipeline. Processing includes:

• EXIF stripping by default (images) — Removes location data, camera settings, and other metadata for privacy
• ID3 tag preservation (audio) — Retains artist, album, title, and chapter markers for playback organization
• Optimised quality presets — Balanced for excellent visual/audio quality and reasonable encoding time
• Transparency handling (images) — Automatically flattens to white background for JPG conversions

Typical image conversion: 0.1-2 seconds depending on resolution. AVIF encoding takes longer (5-10 seconds) because AV1 is computationally expensive.

Typical audio conversion: ~250ms per minute of content. A 1-hour audiobook converts in ~15 seconds. A 3-hour M4B file processes in under a minute.

Storage & Auto-Delete

Outputs are encrypted at rest. All files—input and output—are automatically deleted after 1 hour on all tiers, by design. We do not create backups. Once deleted, files are unrecoverable.

We never use your content to train AI models. See our retention policy for the full rationale.