Bulk upload for batch transcription
Coming soon
Bulk upload is on the roadmap. Today the web app's upload button takes one file per pick, which is fine for a single recording but slow when a back-catalog of interviews, calls, or podcast episodes has to move through. For a large one-off import, contact support and we can run it manually while the multi-file uploader lands.
What bulk upload will do
- Drag a folder in - or multi-select in the file picker. The uploader collects every file and queues each as its own transcription job.
- Parallel processing - jobs run concurrently against the transcription pipeline, so a hundred one-hour files finish far faster than a hundred sequential uploads would.
- Per-file status - the batch panel shows each file's progress, so you can tell which ones landed, which are transcribing, and which failed and can be retried.
- Same output as a single upload - each file lands in your library with a transcript, AI summary, and action items, ready to search and export.
Use cases
- Back-catalog import - move an archive of research interviews, sales calls, or podcast episodes into RecordX in one pass.
- Recorder handoff - a dedicated recorder that produced a day of interviews drops the whole memory card in one upload.
- Team migration - a team leaving a legacy transcription tool moves their old audio and their new audio into one library.
- Podcast production - transcribe every episode of a back catalog at once for show notes and searchable archives.
What ships today
The web app takes one audio or video file per upload - mp3, mp4, m4a, wav, webm, ogg, and other common formats - and returns a full transcript, summary, and action items minutes later. The same pipeline runs behind live capture from the Zoom, Google Meet, and Microsoft Teams integrations, the Chrome extension, the mobile app, and the built-in softphone. Full detail on the transcription page.