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Transcription focus group.Midkood kasta leh calaamad, eray kasta.

Dhex da focus group recording leh 6, 8, haddii se 10 codod. Hel maqlaa leh calaamad qof kasta, hadallo-kala-hadal xisaabta, iyo DOCX oo dibi kartaa NVivo.

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↓ Sida uu u yeedhaa

Sideed iyo toban qof dhex da. Leh calaamad, qoraal kalima-kalim, u bac.

Focus groups waa case diarization oo ugu adag ee xabka — demographics oo sama, codod oo isla, hadallo-kala-hadal oo badan. Waxaan hadallo-kala-hadal xisaabtinaysaa saraar halkaa adoon iska turmayan, markaa koob koob Speaker 3 → 'Participant_F2' mar mid ayaa u bac.

Focus group recordingREC Moderator + 7 qof · 1:23:14
auto-detected en-US44 kHz boundary mic · WAV
~90s
Maqlaa · streaming91% sax · 8 qof
S1

Haddii aad markii hore akhristo packaging — codso inaan fahman waxa aad marka hore ogeen.

S2

Runtii? Waxa ugu horey waxaa ahayd ubax. Sida hospital, oo kinda dhab ah —

S3

Hah, waxiiguba. Waxaan u maleynayay in ay ahayd kan lavender.

S2

Hah, qoraalka ayaa yidhi lavender laakiin runtii—

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

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

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Sadex ikhtiyaar dhab ah · isbarbar dhig cafis ah

Rev qof. AI guud. Ama inaga.

Researchers badankood waxa ay dooraan u vidhan qof transcribe ah (gaaban, sax, gaalo) ama fail-ka duubiyaan tool AI guud ah oo aan loo samaynayn 8-voice room. Waxaan u joogna dhex — AI speed, diarization oo loo hagaajiyay research recordings, iyo DOCX oo dibi kartaa NVivo adoon surgery.

Option 01

Rev qof kalima-kalim

Qof baa qoraysaa. Sax badan, laakiin 24-hour turn-around iyo qiimo oo ku xisaabsan saacadaha.

Sax~99% (qof)
Turnaround12–24 hours inta badan
Hadallo-kala-hadalXisaabta [crosstalk]
QDA exportDOCX, cleanup manual
Qiimo · per min$1.50 kalima-kalim
90-min group~$135
Best forWaxa dissertation ama research leh qaanun ah oo dunida kasta disfluency lagu xaqiiji karo qof.
Option 02

Transcription.Solutions

Diarization loo hagaajiyay 6-10 codod, hadallo-kala-hadal xisaabta saraar, DOCX export oo awood leh NVivo, ATLAS.ti, iyo Dedoose.

Sax88–94% on group audio
Turnaround~1× realtime
Hadallo-kala-hadalXisaabta, ma turmayan
QDA exportDOCX leh speaker turns
Qiimo · per min$0.03
90-min group~$2.70
Best forResearchers leh focus group badani oo rabaca maqlaa first-pass oo NVivo jira bumusku, ma isha-weekga.
Option 03

Otter / Sonix

AI guud oo loo samaynayn meetings. Wanaag 2-3 codod, burburizaa ka baxda 5 — iyo exports lama tixgelan QDA software.

SaxWaxyaala iska baxda 5 codod
TurnaroundGaaban
Hadallo-kala-hadalInta badan turmayan
QDA exportNo native NVivo format
Qiiqa cododSoft limit ~6
Qiimo$17–22/user/mo
Best forInterviews yar iyo 1-on-1 kaas oo recording-ka leh 2-3 codod iyo calendar workflow jira.

Qiimo sax May 2026. Accuracy ranges waxay kaga yimaadaan internal sample ee customer focus group files, maaha synthetic benchmarks.

Gaar ah focus groups

Sadex waxa muday researchers on generic AI tools.

Jid settings sahiix hore iyo maqlaa dibi kartaa NVivo adoon cleanup weekend.

Waxa dhaca

  1. 1Hadallo-kala-hadal turmayan. Tools badankood codod mid halkaa kala-hadal iyo bag walaac. Waxad lumusaa dhawr waxa sawir hadallo ama adkaysiga dhaca.
  2. 2Speakers collapse 3-na. Tools u maleynayaan meeting-sized rooms iyo diarization clusters yar. Sideed iyo toban qof waxay ku noqdaan 'Speaker 1' / 'Speaker 2' / 'Speaker 3'.
  3. 3Export waa wall keliy ee qoraal. Maala paragraph breaks per speaker turn, maala DOCX structure NVivo auto-code lagu karo import.

Waxa jid halkaa

  1. 1Jeedi Tag overlapping speech job form-ka. Hadallo-kala-hadal waxay noqdaan inline `[overlap]` markers iyo midkood kasta speaker waxay hadal le'.
  2. 2Jid Expected speakers: 8-12 qabiilay. Waxaan diarization cluster count isa tallaabaysaa wasmada waxyaala guess yar.
  3. 3Doorso DOCX (QDA-ready) export. Speaker turns waxa noqdaan paragraphs prefix-ka leh calaamad — NVivo, ATLAS.ti, iyo Dedoose hadna ay auto-detect format-ka import.

Job settings loo taacaaleyo focus groups

Duub focus group file-ka leh 'research' template iyo sidee job-ka. Override per-job form-ka.

Diarization
Acoustic · expected 6-10 speakers
Verbatim mode
Full — disfluencies kept
Overlap handling
Tag inline [overlap]
Custom vocabulary
Product / brand names from screener
Speaker labels
Editable post-job, propagate-all
Export
DOCX (QDA-ready) · timestamped TXT

Accuracy · real-world numbers

94% on lavalier-per-participant. Awood 82% on single room mic.

Focus group sax waxaa xagajisa microphone topology, maaha model-ka. Lavalier qof kasta waxay nala siineysaa channels gaar ah qof ka qof — diarization waxa u noqota fudud. One boundary mic conference table leh 8 codod waa case adag. Tiro hoos waxay ka yimaadaan research recordings dhan ee xabka.

94%
Lavalier qof kasta

Qof kasta track nasi, mixed to multitrack WAV. Diarization la turmay — text-only error. Waxaa best case ah dissertation-grade work.

91%
Conference mic, 4-6 qof

Boundary mic table-ka hoose, room treatment gaaban. Codod oo karti leh, hadda hadda confusion qof isku-gender oo edad oo isla.

86%
Single room mic, 7-10 qof

Hadallo-kala-hadal badan, codod oo isla ku wada-uroro. Astaan 10-minute rename iyo merge pass speaker chips-ka kaas oo ka dib analysis.

82%
Remote group on mono Zoom

Compressed mono mix, no per-channel split available. Eray hadna isticmaaloowan thematic coding, laakiin disfluency-level kalima-kalim claims way dhibaatayaan halkaa.

Suaal caadi ah

8 waxa lagu weyddiistaa transcription focus group.

01Waxaan Speaker 1 u bedelayaa magac qof ama ID?+
Hah. Dhufo speaker chip editor-ka, qor magac ama screener ID (tusale P04_F_34), iyo markaa waxa u bac midkood kasta turn qof-ka transcript-ka. DOCX export waxaa isticmaala renamed labels.
02Sidee aad hadallo-kala-hadal iyo speech-kala-hadal u qabtaan?+
Waxaan xisaabtinaysaa saraar leh `[overlap]` markers iyo speaker midkood kasta waxaa walaac transcript-ka. Tools guud badankood codod mid doorso iyo talk kan kaas ee bag — waxaan maano, waayo hadallo-kala-hadal wexyada yeesha waxa focus group dynamics ah.
03DOCX waxaa runtii u dubi kartaa NVivo iyo ATLAS.ti?+
Hah. Waxaan export-inaysaa leh speaker labels oo paragraph-style headings ah, kaas oo NVivo auto-code karaan import iyo ATLAS.ti waxay iska aqriyaan speaker turns. Dedoose waxaa qabtaan waxa DOCX transcript import pad-ka.
04Intee qof ayad diarize kartaan file keliy ah?+
Soft ceiling haduurir 12. Kaas ka baxda, acoustic clustering waxa ay codod oo isle wada-uroro — waxa badankood astaan 10-15 minute rename pass koob koob. Jid 'Expected speakers' clearly job form-ka waxay siinaysaa best results.
05Kalima-kalim ama cleaned-up — waxaan doorso kartaa?+
Labada. Verbatim mode kaydh qof kasta 'um', false start, iyo eray repeated discourse analysis. Cleaned waxay laafdisaa disfluencies readability. Waxad doortan per-job; default research template-ka waa kalima-kalim.
06Sidee IRB requirements iyo participant confidentiality?+
Files waxaa lagu shaqi kartaa infrastructure, mahal third-party APIs. Waxaan bixinaysaa per-job auto-delete-after-N-days flag IRB protocols. Waxaan SOC 2 Type II iyo GDPR-compliant; DPA waxaa ku jira legal page haddii IRB-ka rabaan.
07Waxaan video ama audio-only duubayaa?+
Audio-only waa fiican — waxaan videoga isticmaalin maymeyno diarization. Haddii videoga leedahay participant identification, keyf locally coding; uploading audio track keliy waa gaaban iyo gaalo.
08Sidee qiimo u isbarbar dhigaysaa Rev qof kalima-kalim?+
90-minute focus group waxaa soconaysaa $2.70 halkan $135 Rev kalima-kalim. Trade-off waa sax: kaada dhigaysaa 86-94% wasmada mic, Rev qof transcribers waxay dhacaan ~99%. Researchers badankood waxay inaga isticmaalaadaan first pass iyo specific groups human-ka escalate hadda.

Duub focus group recording. Hel maqlaa NVivo bumusku.

30 free minute kasta moon. No card. Speaker labels, hadallo-kala-hadal tagging, QDA-ready DOCX export included qoraha kasta plan-ka.

Ka bilow free