Meeting notes
Turn long discussions into text your team can search, quote, and turn into next steps.
Transcript studio
Convert recordings into accurate, readable text for notes, captions, interviews, meetings, podcasts, and production handoff. Dolami's AI transcription takes you from audio to structured copy without breaking your creative flow.
Start from recorded speech.
Readable text from spoken audio.
Copy, edit, and reuse quickly.
Keep past transcripts available.
Use cases
Use Speech to Text when you need reliable written material from real recordings. It is built for quick transcription, content repurposing, and clean handoff into writing, editing, or publishing workflows.
Interview, meeting, class note, podcast clip, voice memo, or any speech-heavy recording.
Speaker-ready text that can become notes, captions, summaries, scripts, or searchable archives.
Turn long discussions into text your team can search, quote, and turn into next steps.
Capture interviews and monologues as source copy for show notes, clips, and articles.
Move spoken content into a transcript before editing subtitles, reels, or video descriptions.
Keep lectures, calls, and field recordings easier to review, scan, and cite later.
How it transcribes
01
Add your speech recording in a supported audio format.
02
Dolami analyzes the speech and converts it into text.
03
Copy the transcript, review history, and bring it into your next workflow.
More tools
Move from transcripts into voiceovers, generated sound effects, vocal edits, separated audio layers, and music video creation without leaving Dolami.
Explore all appsFAQ
Quick answers for turning spoken recordings into clean, usable text.
You can transcribe voice notes, meetings, interviews, podcasts, lectures, tutorials, and other speech-focused recordings. The result is useful for notes, captions, summaries, content drafts, research archives, and searchable documentation.
Clear speech with low background noise works best. Recordings with steady microphone levels, minimal music, and limited speaker overlap are easier to convert into readable text.
Yes. Speech to Text can provide the written base for captions or subtitles. You may still want to review timing, punctuation, names, and formatting before publishing.
Transcription quality depends on accents, microphone quality, background noise, overlapping speakers, uncommon names, music, and compression. Cleaner recordings usually produce more accurate text.
Yes. The tool includes history so you can revisit earlier transcription jobs, copy text again, and keep related audio work organized.
Yes. AI transcription is a strong starting point, but important names, technical terms, punctuation, and speaker meaning should be reviewed before public or professional use.