About RemoveSubs

When this workflow helps

You may have a finished tutorial, interview or social clip whose captions are already part of the picture. Repair can help prepare that footage for a new edit when a clean source is unavailable. Start with a representative scene, especially if text crosses hands, faces, patterned clothing or moving objects.

Removing text requires an estimate of the detail underneath it. A repaired area can look soft or change between frames. Use the frame comparisons and inspection guide to decide what to check in your own result.

What you can do here

Choose a local video, preview it and review the processing cost before starting. Compare the original with the result and download the processed file. Completed jobs and downloads are available in Mes vidéos.

The process is automatic. It repairs text in the picture; it does not remove subtitle streams, translate captions or let you select individual words to preserve. Other visible lettering may change. Keep your original and inspect the result.

Choose the right method

If subtitles can be switched off, a subtitle-track workflow may be enough. If you still have an editable project, remove its text objects before exporting again. Our subtitle-type guide explains the difference.

How we test RemoveSubs

The service publishes these guides to explain file types, editing methods and the limits of automatic repair. Original/result video pairs were supplied and confirmed by the site owner as processing outputs. Generated interface diagrams are labeled as illustrations. Software guides link to official documentation; a diagram does not establish a version-specific feature or a tested competitor result.

Case studies identify the source scene, the inspected time and what is visible in that frame. A close-up or a successful example does not establish performance across a whole video. Method demonstrations label crops and blur separately from actual processing outputs. Alternative-tool guides distinguish documented features from results that would require a direct comparison test.

What affects removal quality?

Text size and position determine how much image information is covered. Faces, fine textures, camera movement, fast motion and changing light make consistent repair more difficult. AI estimates hidden detail from available visual context; it cannot recover original pixels overwritten by burned-in text. Inspect both paused frames and playback before using a result.

Credits, files and support

Review plans and credits before processing. When only the beginning of a clip is included, only that portion is processed and downloaded. The privacy policy explains how uploaded files and results are handled, and the refund policy explains refunds and failed-job credit returns.

For help with an upload, processing job or payment, email support@removesubs.com. Include the job ID or order number where relevant.