We’re pleased to announce that SpeedScriber 2.2.5 is now available on the App Store. This update features the following changes:
- Fixed crash that could occur when editing punctuation on French language transcripts.
- Fixed crash that could occur when deleting a new speaker or undoing addition of a new speaker.
- Minor UI improvements.
We’re pleased to announce that SpeedScriber 2.2.4 is now available on the App Store.
This update features a critical bug fix for issue introduced in version 2.2.3 where the text cursor location was not overridden correctly in editing mode.
We’re pleased to announce that SpeedScriber 2.2.3 is now available on the App Store. This update features the following changes:
- Improved performance and removed UI glitches when changing speakers on existing speaker range.
- Added clarification on how free minutes can be used to test files of any duration.
- Fixed Export to Word defaulting to US Letter paper size rather than the paper size selected in Page Setup.
- Fixed media relinking error on files transcribed before March 2017.
- Fixed unexpected results when selecting characters in editing mode outside the bounds of the original selected words.
- Fixed playhead on Media panel not reliably updating to correct position when opening a file.
- Fixed transcript scroll position not reliably updating to correct position when opening a file.
- Fixed crash when changing punctuation on a word in editing mode (French language only).
- Further fixes for word editing.
- Various cosmetic UI fixes.
We took 2 files with the same 10m30s duration:
- ProRes 4444 video file (file size: 20.36GB)
- MP3 audio file (file size: 20.2MB).
Each file was imported into SpeedScriber and we timed how long it took from clicking the Transcribe button until the file appeared in the main file list with “Processing” status.
The test was repeated 10 times and here are the results:
Yes that’s correct, both files took 18 seconds to start transcribing.
How is that even possible?
Let’s go back… back to the time when human-based transcription first appeared as a service on the web. Media files were (and still are) large but internet connections were very slow. So to upload a file to one of these services you’d first have to convert it to a compressed audio format such as MP3.
Fast forward 15 years or so, and while internet connections have got much faster, there are no benefits to uploading a large video file because automated transcription only requires audio. Even today, all web-based transcription services suggest uploading a compressed audio file such as MP3.
So what’s the secret?
Whether 20MB or 20GB, the original file size makes no difference to SpeedScriber because the imported file is never uploaded. The magic is done behind the scenes — any imported file is converted to a mono audio-only compressed file which is uploaded and used for the transcription.
With SpeedScriber, there’s no need to spend extra time making a special ‘export for transcribing’ because the app does it for you. Automatically.