Confirm speaker count, noise, dialect and mixed-language segments on the actual recording.
Transcription you can use after the audio stops.
Convert multilingual speech into a reviewable text record with speaker, timestamp, dialect and spelling rules agreed against a real sample.
Ask for a de-identified sample showing speaker and timestamp format, uncertain-span treatment and reviewer notes.
Transcript usability decision
What will the team do with the transcript after this clip?
Speech-data, research and media teams need different text conventions. A representative clip settles them before the rest of the audio is assigned.
Choose verbatim or edited output, spelling, transliteration and uncertain-span notation.
Set the timestamp and speaker-turn format the receiving system can import.
Review a difficult clip, log ambiguities and update instructions before a large batch.
Sample clip reviewedSpeaker and time rules agreedUnclear speech marked
What multilingual transcription delivers
A transcript is useful only when its conventions fit the next task.
Multilingual transcription converts recorded speech into text under agreed rules for speaker turns, timestamps, spelling, dialect, code-switching and unclear spans. The output contract changes with the downstream use: speech recognition, research analysis and a media production each need a different level of detail and file format. MoniSa checks a representative clip, agrees verbatim or edited treatment and uncertainty notation, then pilots difficult audio before larger batches. A transcript is not itself a timed subtitle or SDH package; multimedia delivery adds its own display and platform requirements.
Multilingual Transcription Services
When to use it.
When a transcript must feed speech recognition, research or media work and an unscoped text file would be unusable.
Who this is for
For your team.
- Speech-data owner
- Needs speaker, timing and orthography rules that fit the downstream model or dataset.
- Research lead
- Needs uncertain speech marked and reviewable rather than silently guessed.
- Media operations lead
- Needs a reliable transcript source before separate timed-text or localization work.
Specification
Project requirements and deliverables.
What we need from you, how the work is reviewed, and what you receive.
| Typical inputs | Representative audio, target languages and dialects, speaker count, recording conditions, output format and intended downstream use |
|---|---|
| Review path | Agreed verbatim or edited convention, speaker turns, time alignment, orthography, code-switching rules and uncertain-span notation |
| Strongest fit | Speech-data preparation, research transcripts and source text for later media work; subtitle packaging is a separate deliverable |
| How the work runs | Check a representative clip, settle transcript conventions, pilot difficult audio, then produce with reviewer notes and a correction lane |
Pilot controls
Set transcript conventions on real audio.
A representative clip helps the speech-data owner decide speaker, timing, orthography and uncertain-span rules before volume. Accuracy and turnaround depend on the recording and agreed review depth.
Listen
Assess recording conditions, speakers and mixed-language segments.
Specify
Agree verbatim or edited text, timestamps and output format.
Pilot
Transcribe a difficult sample using the proposed conventions.
Mark uncertainty
Flag unclear spans instead of inventing speech.
Review
Compare the sample with the specification and record corrections.
Decide
Approve the convention and review depth before batch production.
Buyer proof request
Ask for a representative sample
Inspect speaker and timestamp format, uncertain-span treatment and reviewer notes on a de-identified clip.
Related speech and media paths
A transcript may be the source, not the final deliverable.
A transcript can support a speech dataset or become the source for subtitles and other media work.
Multimedia services
Scope subtitles, SDH, dubbing support and platform delivery separately.
AI data services
Place transcript production inside the wider speech-data program.
Audio transcription case study
Read the audio transcription project and its results.
Subtitling services
Scope timed text when display and platform specifications govern the output.
Company-wide language coverage
Availability and specialist fit are confirmed for each project.
110,000+
native linguists and AI data contributors
· Founder-reported combined network · 4 Oct 2026
300+
languages across active service lines
4,500+
dialects and regional variants
110+
rare, indigenous and low-resource languages
1,000+
organizations served since 2015
Buyer questions
Common questions.
What should a transcription brief include?
First describe the recording conditions, target languages, speaker count, downstream use and output format. Arrange audio transfer after project data-handling rules are agreed; then set timestamp, spelling and uncertain-span rules on a pilot.
Is a transcript the same as a subtitle file?
No. Transcription makes a reviewable text record; subtitling and SDH add timing, display and platform rules covered by multimedia services.
Can accuracy or turnaround be guaranteed before hearing the audio?
No. Recording conditions, speech difficulty and the agreed review depth determine a responsible production plan.
Transcription brief
Describe a representative audio clip.
Tell us the recording conditions, languages and downstream use. Arrange transfer of a clip after a scoped data-handling path is agreed.
Send a brief