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transcription with speaker diarization + SRT export

A task + requirement decision guide — not a "best AI tools" roundup. Choose based on what your audio actually requires.

Task: turn audio/video into an accurate, speaker-labeled transcript with SRT export.
diarizationSRT/VTT100+ languageszoom/meetingprivacy
1 · LanguagesEnglish-only vs 100+ languages (multilingual)
2 · DiarizationNeed speaker labels ("Speaker 1/2") or single voice
3 · Export formatSRT/VTT for subtitles vs plain DOCX/TXT
4 · Source typeClean recording vs noisy meeting / phone
5 · Volume & budgetOne file vs batch; free vs paid
6 · PrivacyCloud upload OK vs on-device required

Decision matrix (observed capabilities)

Cells reflect public claims / SERP observation (2026-09-30). yes = supported, no = not, unverified = claim exists but untested by us.

ToolDiarizationSRT export100+ langsFree tierPrivacyEvidence note
Whisper-based (OpenAI/local)unverifiedyesyes (multilingual)yes (local OSS)yes (local)Open model; accuracy depends on fine-tune
Otter.aiyesunverifiedno (EN-centric)limitedcloudEstablished meeting transcriber
HappyScribeyesyesyes (150+)limitedcloudSERP: "audio to text 99% accuracy" claim (unverified)
TurboScribeyesyesyesfree plancloudSERP: free video-to-text converter page
VEEDyesyesunverifiedlimitedcloudSERP: audio/video transcription tool
decopy.aiyesyesunverifiedlimitedcloudSERP: 500 MB upload, timestamps + speaker labels
TalkMapper / Rewind.aiyesunverifiedunverifiedfreemiumcloudPrior audit: real product pages + thin listicle

Verdict — pick by your requirement

Evidence (SERP-observed, 2026-09-30)

Honesty notes

Machine-readable