Transcription cost estimate: calculate credits before uploading
A transcription cost estimate starts with the amount of speech you need processed, not the recording's file size. A small MP3 can contain a long interview, while a large video may contain only a short spoken introduction. To budget sensibly, separate transcription from any later notes or summary step, apply rounding to the right units, and compare your arithmetic with the estimate shown before starting.
Build a transcription cost estimate from speech duration
AI transcription requires sign-in and sufficient paid credits. The rate is 2 credits per minute of speech, rounded up. Use the audio to text tool when you need a reviewed transcript rather than a meeting overview. Check the pricing page for subscription availability and usage information; credits are the useful unit for estimating a particular job.
For a simple example, suppose a single billable speech portion lasts exactly 12 minutes. At 2 credits per minute, that portion costs 24 credits. If it lasts 12 minutes and 10 seconds, rounding to the next minute gives 13 minutes, or 26 credits. The extra seconds cross a billing boundary even though the file is only slightly longer.
Do not infer speech duration from megabytes. Compression, video resolution, and the audio format affect storage size without providing a reliable measure of spoken content. Write down the source duration as a planning reference, but use the tool's prepared estimate when available. A recording with pauses may not produce the same billable duration as continuous speech of equal total length.
Account for rounding across separate parts
Rounding matters most when you divide work. Two separately processed speech portions of 6 minutes and 10 seconds each round to 7 minutes apiece. Their total is 14 billed minutes, or 28 credits. Treating their combined 12 minutes and 20 seconds as one portion would suggest 26 credits. Those are different calculations because the rounding happens at different boundaries.
The meeting workflow prepares long recordings in parts of about 13 minutes and rounds each part up to the next minute. Consequently, multiplying the total speech duration by two can be a useful starting estimate without being the final charge. Do not promise a colleague an exact credit requirement from the recording's overall clock time alone.
Keep a simple project note with the recording name, estimated speech length, expected processing steps, and displayed estimate. This is more useful than remembering only a balance before uploading. It also helps you distinguish a second intentional submission from an unexpected duplicate when checking account history later.
Add notes or summaries as a separate calculation
Meeting notes add a second charge after transcription: 1 credit per 2,000 transcript characters, rounded up, with a minimum of 1 credit. You cannot determine that amount precisely from audio duration alone. The transcript's character count is the relevant input, and speaking pace, wording, and the amount of speech all affect it.
Suppose the transcription stage uses 40 credits and the resulting transcript contains 10,400 characters. Divide 10,400 by 2,000 to get 5.2, then round up to 6 credits for notes. The combined example is 46 credits. A transcript of exactly 10,000 characters would instead use 5 notes credits. These are worked examples, not predictions for every meeting of a given length.
The AI meeting note taker creates an overview, decisions, action items, and timestamped key points from an uploaded recording. If you only need the spoken words, decide that before requesting a notes workflow. If you need both, budget for both stages rather than assuming the notes are included in transcription.
Budget review work and avoid unnecessary submissions
Before opening the transcription workspace, play the beginning, a representative middle passage, and the ending of the source. Confirm that this is the correct take, that voices are audible, and that a video actually contains speech. A format change cannot restore words hidden by distortion or overlapping voices.
Choose the most complete, clearest source you have. Uploading a draft episode, then the final episode, creates separate processing work. Likewise, repeatedly submitting the same recording because a name was misheard is a poor substitute for reviewing and correcting the transcript. A new result still needs checking and does not establish the correct spelling automatically.
For a project with several files, make a list before starting. Mark which items need transcription only and which need notes as well. Keep reviewed exports with their source filenames. Our MP3 transcription guide covers file preparation, while the recording-to-meeting-notes workflow explains the review needed after both stages.
Handle failed jobs using the actual job record
The meeting tool documents automatic credit refunds when a processing step fails. That is different from disliking a completed result or finding a word that needs correction. Do not assume every completed transcription can be refunded, and do not extend a documented failure policy to every possible billing situation.
For a failed, duplicated, or unexpectedly charged job, keep the job identifier, approximate time, error message, and relevant account details. Contact support through the site's help information if the record needs investigation. You do not need to attach a private recording to explain that an estimate and a charge appear different. Never send passwords or payment card details.
Also consider processing before budgeting: AI source content goes to a third-party model provider, and results remain in account job history. Local conversion is a separate browser operation that keeps files on your device. Returning to the current pricing information before a substantial project helps you plan paid access without relying on an old subscription assumption.
Frequently asked questions
Does a smaller MP3 cost less to transcribe?
Not simply because it is smaller. Transcription uses speech duration rather than file size. A compressed file can still contain many minutes of speech, so check the prepared estimate.
Are meeting notes included in transcription credits?
No. Meeting transcription uses 2 credits per minute of speech, while notes use 1 credit per 2,000 transcript characters, rounded up, with a minimum of 1 credit.
Why can a long meeting cost more than my rough calculation?
The meeting workflow processes long speech in parts of about 13 minutes, rounding each part up to the next minute. A calculation based only on total duration can miss those boundaries.
What should I save if a job fails?
Keep the job identifier, approximate time, and exact error message. Meeting processing steps have automatic failure refunds; contact support if the account record appears incorrect or needs investigation.
Related guides
- MP3 to text: prepare, review, and export a useful transcript
- Video to text: transcribe a recording and keep its visual context
- Voice memo to text: turn phone recordings into usable notes
- Transcribe interviews with a careful recording and quote-review workflow
- Transcribe lecture recordings into notes you can check and study