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ފޯކަސް ގްރޫވް ނިސްކޭ. ސަރވ ވާ ހުރުސްވި، ސަރވ ސުވާ.

ފޯކަސް ގްރޫވް ރެކޯޑިގ ފާއި 6، 8، ይ 10 ވާ. ސާފް ނިސްކޭ ާ ސަރވ ވާ ާވި، cross-talk ާވި، DOCX NVivo އަވަހުކޫ ވާވި.

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MP3 · WAV · M4A · MP4 · MOV · MKV · OGG · OPUS · FLAC · WEBM — up to 100 MB anonymously

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YouTube · TikTok · Vimeo · Twitter · SoundCloud · Spotify · 50+ more

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No card required~90s per 60-min fileSRT · VTT · DOCX · TXTFiles auto-deleted in 24h

↓ ކވެ ާާ ހާރި

ވާ އެތި. ހުރުސްވި ސާފް ކަވާ.

ފޯކަސް ގްރޫވް ހަވާ voice diarization ކޮޅޭ ި — ވާ demographics، ވާ voices، މީހް cross-talk overlap. ވި overlap inline [overlap] ާވި، ވިތ Speaker 3 → 'Participant_F2' ާ ތިރީ.

ފޯކަސް ގްރޫވް ރެކޯޑިގREC Moderator + 7 ވާ · 1:23:14
auto-detected en-US44 kHz boundary mic · WAV
~90s
ނިސްކޭ · ވާވި91% accuracy · 8 ވާ
S1

ތަ ކަޅުވަރިކަމުރާ — ނ ާވި ވިސްނި.

S2

ވަޒީމ? ާވި ގަވް smell. ރްސިටާ، ކ clinical —

S3

ާވާ، ވި. ވޱ lavender ާނ ވި.

S2

ާ، label lavender ނ ވި —

91% on 8-speaker room micDOCX (QDA-ready) · SRT · TXT · JSON

↓ This is the dashboard

This is what loads when the job finishes.

Same layout as the real dashboard — Summary, full Transcript, Speakers tab, Exports. Key points and action items extracted automatically. Auto-tags on every job.

Try it on your own file — it's free

ތިނ ވަޒިރާ · ސާފް ސިކުވެ

Rev މީސް. ސިކަވާ AI. ވަ.

ސާއި ވާ އެތީ ފނާއި (ބަޔަަކު، accuracy، ރިވޭ) ަ ސިކަވާ AI ތިޔާ ވޭ (8-voice ރުިށ ާތި ާތި) ވި. ވީ ރޭ ވާފާ — AI ސްފ، diarization ރިސާރޗް ރެކޯޑިގ، DOCX NVivo ާ ވިނ.

Option 01

Rev މީސް ސާފް

މީސް ާވި. High accuracy، ބަ 24-hour turnaround ރިވޭ hours ާ ސްކަވާ.

Accuracy~99% (މީސް)
Turnaround12–24 ސާތި
Cross-talkMarked [crosstalk]
QDA exportDOCX، ވިތް cleanup
Cost · per min$1.50 ސާފް
90-min ގްރޫވް~$135
Best forڈسިވީ ާ regulated ރިސާރޗާ ވަޙަދ disfluency human-verified ވާވި ާތި.
Option 02

Transcription.Solutions

Diarization 6-10 ވާ ާވި، cross-talk inline ާވި، DOCX NVivo، ATLAS.ti، Dedoose ާވި.

Accuracy88–94% ގްރޫވް audio ާ
Turnaround~1× realtime
Cross-talkާވި، ވިނ
QDA exportDOCX ވާ ާވި
Cost · per min$0.03
90-min ގްރޫވް~$2.70
Best forސާއި ބުநް ވާ ާ ްވި ނިސްކޭ NVivo ާ ާވި، ވސެވްދ އކ.
Option 03

Otter / Sonix

ސިކަވާ AI meetings ާވި. 2-3 ވާ ާ، 5 ތި ވިނ — export QDA ސޮފްވެއ.

Accuracyވިނ 5 ވާ ތި
Turnaroundވަވި
Cross-talkމިތި ވިނ
QDA exportNVivo ފޯރެްޓ ނވާ
ވާ ceilingSoft limit ~6
Cost$17–22/user/mo
Best forވިތް interviews 1-on-1 2-3 ވާ calendar workflow ަ.

Pricing accurate as of May 2026. Accuracy ranges come from our internal sample of customer focus group files, not synthetic benchmarks.

ފޯކަސް ގްރޫވް ާވި

ތިނ ކަމ generic AI ތަކަށް ރިސާރޗާ ބަޔަަކު.

ސޓިގ ސɛٹ ވި NVivo ާ ވިނ cleanup ހާވި.

ހ ވި

  1. 1Cross-talk ވިނ. ސިކަވާ ވަސިތް overlap ވާ ަެ speaker ވި އވަނ. consensus ަ pushback ކަმ ވިނ.
  2. 2ވާ 3 collapse. ތިޔާ meeting-sized ރުި ާ diarization clusters ނ. 8 ވާ 'Speaker 1' / 'Speaker 2' / 'Speaker 3' ވަވި.
  3. 3Export text ާދ. paragraph breaks speaker turn، DOCX ސްޓ NVivo auto-code import.

ވި flip

  1. 1Turn on Tag overlapping ސްپީޗް job form. Cross-talk inline `[overlap]` ާވި speaker ސްވާވި.
  2. 2ސެޓް Expected speakers: 8-12 explicitly. diarization cluster count match ާވި guess.
  3. 3ވަ DOCX (QDA-ready) export. Speaker turns paragraph ވި label — NVivo، ATLAS.ti، Dedoose auto-detect import.

Recommended job settings ފޯކަސް ގްރޫވް

ފޯކަސް ގްރޫވް ފަިލް 'research' template ވި ވި flip on. Override per-job form.

Diarization
Acoustic · expected 6-10 ވާ
Verbatim mode
Full — disfluencies ވި
Overlap ސަވި
ާވި [overlap]
Custom ވޮކަބް
ނަނ / brand ސްކްރีނަރ
ވާ ލޭބަލް
ެডିޓ post-job، propagate-all
Export
DOCX (QDA-ready) · timestamped TXT

Accuracy · real-world numbers

94% lavalier-per-participant. 82% ާ ހަިވި room mic.

ފޯކަސް ގްރޫވް accuracy bottleneck microphone topology، އ model. lavalier ރިވާ ދިނަވާ clean per-speaker channels — diarization ސިފް. boundary mic ކ 8 ވާ hard case. ނަंބަރް real ރިސާރޗް ރެކޯޑިgarrison ވިވި.

94%
ރިވާ lavalier

ވާ ބދި track، multitrack WAV. Diarization ވިނ — text-only error. dissertation-grade ާވި ާތި.

91%
Conference mic، 4-6 ވާ

ކ room treatment. voices distinguishable، ސަン gender ވާ age ާޤިާފި.

86%
ބިندި room mic، 7-10 ވާ

Cross-talk ތަ، similar voices acoustic diarization ާ. 10-minute rename merge ވާ ކްސް ވިތުވި.

82%
ރިموٹ ގްރޫވް mono Zoom

Compressed mono mix، per-channel split ވިނ. ސުވާ thematic coding ާވި، ވަ disfluency-level ސާފް ވްގސސ.

ސިކަވި ސުވާލުތައް

8 ކަމ ފޯކަސް ގްރޫވް ނިސްކޭ އަށް ވިސްނުވި.

01Speaker 1 ވާ ނަވާ ތި ID އާ?+
ވާ. ވާ ާވި editor، ނަވާ ތިބ ID (e.g. 'P04_F_34')، ވާ turn ި transcript ވި. DOCX export ވި ލޭބަލް ވެ.
02Cross-talk overlapping ސްપીަ ކަވާ?+
��ި [`overlap] ާވި speaker ސްވާވި transcript. ސިކަވާ ތިޔާ ވާ ވި އވަނ — ވި ނވި، overlap ާވި ފޯކަސް ގްރޫވް ވި.
03DOCX NVivo ATLAS.ti import ވި?+
ވާ. ވި speaker ލޭބަលް paragraph-style headings، NVivo auto-codes import ATLAS.ti speaker turns ވި. Dedoose DOCX transcript import ވަވި.
04ކަވާ speakers diarize file?+
Soft ceiling 12. ​ އި، acoustic clustering similar voices merge — 10-15 minute rename ވާ.
05Verbatim ސިވިފި — ވިވި?+
ވާ. Verbatim mode 'um'، false start، repeated ސުވާ discourse ާވި. Cleaned disfluencies readability. ވި per-job; research template ވަ ސާފް.
06IRB ާވި participant confidentiality?+
ފަިލް ްީި infrastructure، third-party API ވިނ. ވި per-job auto-delete-after-N-days ފްވި IRB protocols. ވި SOC 2 Type II GDPR-compliant; DPA legal ް IRB ވާވި.
07ވިޑިއޮ-only ރެކޯޑް?+
Audio-only ވި — ވިޑިއޮ diarization ވިތި. ވިޑިއޮ participant ާ، ދި locally ެއ; audio track upload ވަވި cheap.
08Cost Rev މީސް ސާފް?+
90-minute ފޯކަސް ގްރޫވް ~$2.70 ~$135 Rev മീ. Trade-off accuracy: ވި 86-94% mic setup، Rev މީސް ~99%. ސާއި ވާ ވި ވި first pass escalate ސްޕިސިފިކް މީސް needed.

ފޯކަސް ގްރޫވް ރެކޯޑިގ. ނިސްކޭ NVivo ާވި.

30 ސާވި މިނިޓ ާ މާ. Card ނވާ. ވާ ލޭބަލް، cross-talk tagging، QDA-ready DOCX export ނ plan.

ސް ވި