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Transcription don masu bincike na ilmi.IRB-aware, CAQDAS-ready, hare 100+.

Sauya research interview ko focus group recording. Samu speaker-labelled, timestamped text da'a shirya don NVivo, Atlas.ti, ko MaxQDA — tare da audio cire cikin awanni 24.

Drop a file, or pick one

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

Paste a link, we’ll fetch the audio

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

Record straight from your browser

Sign up takes 30 seconds — recording opens right after, in the dashboard.

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

↓ Kalli abin da take fita

Field recording cikin. Coding-ready transcript fita.

Muna alamar kowane participant turn tare da timestamp a asinsu, riƙe filler words idan ka bukaci verbatim, da export DOCX tare da speaker styles CAQDAS tool na jiyya na gane.

Semi-structured interview · .wavREC 2 speakers · 1:08:24
auto-detected en-GB44.1 kHz mono · lavalier mic
~90s
Transcript · streaming94% accuracy · verbatim mode
S1

Zai iya kawar mini ta tsakanin lokri na farko nda ka lura canjin yankin?

S2

Um, shi ita sa 2019 — bakery a gefen street a rufe, da, eh, sannan ne aka bugi ni.

S1

Da kina ji, kallo de abin da ya faru cewa makarantu?

S2

Gaske? Kamar waji nda na sani shekara talatin an bata, guntu guntu.

94% on lavalier interviewDOCX (CAQDAS) · TXT · SRT · 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

Abubuwan hudu na gaske · tabbataccen bambanta

Rev dan iska. NVivo Transcription. Ko mun.

Rev din iska shine tarihin default don dissertation-grade quotes. NVivo yana tattara AI transcription cikin CAQDAS tool kansa. Mun kusan tsakiya — saurin fiye da Rev, daidai da IRB-friendly fiye da NVivo ƙari.

Option 01

Rev (human transcription)

Jama muka rubutu. Karfi, waji, amma gold standard don publishable verbatim.

Turnaround12–24 hours (typical)
Cost · per min$1.50 human / $0.25 AI
Speaker labelsHaka, manually alamta
Audio retentionAdana a Rev servers
LanguagesEN human · ~30 AI
CAQDAS exportDOCX, TXT (manual)
Best forInterview na musamman mai wuya da'a bugi zuwa direct quotation a published paper, inda bu'a ba baƙi.
Option 02

Transcription.Solutions

AI transcript cikin minutes, audio cire cikin 24h, DOCX alaƙa don NVivo da Atlas.ti import.

Turnaround~5 min don 60-min file
Cost · per min$0.03
Speaker labelsDiarized, sake sanya cikin app
Audio retentionCire cikin awanni 24h
Languages100+, auto-detected
CAQDAS exportDOCX heading styles + TXT
Best forMasu bincike da suke gudanar da interviews 20+ wajen buƙatar sauri transcripts, sai ture daidai 5% na quotes da'a ba don publication.
Option 03

NVivo Transcription / Otter

AI transcription tattara jiya CAQDAS tool ko note-taker. Mai dacewa, EN-style, ba cewa kawari.

TurnaroundComparable (AI)
CostCredit packs · ~$0.30/min
Speaker labelsAcoustic, EN-tuned
Audio retentionAlaƙa da subscription
LanguagesNon-EN daidai sai sauƙi
CAQDAS exportNative zuwa NVivo kawai
Best forSolo PhD students da suke aiki gaba daya a Ingilizci cikin CAQDAS kaɗai wajen son bill ɗaya.

Pricing da feature flags daidai a 2026. Rev AI/human split da NVivo Transcription credit pricing suna bambanta da yanki da academic licensing.

Takamaiman qualitative research

Abubuwan hudu da suke damje masu bincike akan generic transcription tools.

Juya saiti madadi kafin ka sauya da transcript zai shiga CAQDAS project kai tsaye.

Abin da ya fadi

  1. 1Filler words aka cire bakin zane. Generic AI yana cire "um", "like", false starts — nagari don meeting notes, bakin rai don conversation analysis.
  2. 2Domain terminology (theoretical frameworks, drug names, place names, kinship terms) ana rubutu phonetically. Coding sai buƙata find-and-replace pass.
  3. 3Audio yana zaune akan vendor servers ba tare dapai. IRB data management plans yaba a cire ko controlled retention — vendors rarely bayyana wannan jiya.

Abin da za ka juya a nan

  1. 1Canja zuwa Verbatim mode akan job form. Mun riƙe fillers, false starts, repetitions, da laugh markers — clean mode shine opt-in, ba default don masu bincike.
  2. 2Paste codebook terms da proper nouns a Custom vocabulary. Mun watsa shi azaman recognizer hint, ba hard substitution, saboda context suma ya yi.
  3. 3Audio cire cikin awanni 24 bayan job end. Transcript ya zaune a account. Mun iya bayyanar deletion confirmation don IRB file idan ka buƙata.

Nisa job da aka share don research interviews

Sauya field recording da waɗannan suka kunna ba tare dapai. Override per-job daga form.

Mode
Verbatim (fillers + false starts on)
Speaker model
Interview · 2–8 speakers
Language
Auto-detect · accent-tolerant
Timestamps
Every speaker turn
Audio retention
Delete within 24h
Export
DOCX (CAQDAS styles) · TXT · SRT

Accuracy · real-world numbers

94% akan clean lavalier interview. Gaskiya game da abin da fieldwork bugi.

Field audio shine kasuwar gogon transcription — open rooms, accented English, overlapping speech a focus groups. Dyadic interviews tare da lavalier-mic sami ceiling; ambient recordings da focus groups maraya sauri. Lambobi a ƙasa suna zo daga researcher uploads, ba synthetic benchmarks.

95%
1-on-1, lavalier ko USB mic

Quiet room, single L2 ko native speaker, recorder akan table. Best case don semi-structured interviews — mafi dyadic studies suka zama a nan.

91%
Handheld recorder, 2–3 speakers

Zoom H4n ko phone recorder tsakiya table. Speaker chairs gane ta gida. Shirya 5-min relabel pass.

85%
Field interview, ambient noise

Kafe, kasuwa, walking interview. Background chatter da traffic dame short responses; main turns suma na codable.

80%
Focus group, 5–8 participants

Overlapping speech da shared mic. Diarization zai haɗa wasu quiet voices — taro ta disambiguate a coding time.

Tambayoyin gama-gama

Abubuwan 8 wajen masu bincike suke tambaya game da academic transcription.

01Shin haka yace cikin IRB data management plan?+
Mafi gida plans da muka gani sun amince da mun bayan su karange duka gida: audio cire cikin awanni 24 bayan job end, da transcripts zaune kawai a researcher account. Ba IRB mun — boar kai last call — amma mun bayyanar written processing description don protocol idan aka buƙata.
02Shin kuna riƙe interview audio?+
A'a. Audio file cire cikin awanni 24 bayan job gajiya. Transcript kawai ya zaune a account, da za ka iya cire wannan lokaci-lokaci. Ba mun amfani research audio don train models.
03Za ka iya true verbatim — tare da fillers, false starts, da overlaps — don conversation analysis?+
Eh. Toggle Verbatim mode akan job form da mun riƙe "um", "uh", repetitions, false starts, da laugh tokens. Overlap alamta tare da brace symbol a turn boundary. Ba mun yi Jefferson notation automatically — wannan suma dan iska pass.
04Shin DOCX zai fita sannu a NVivo, Atlas.ti, ko MaxQDA?+
Eh. DOCX mun yana amfani heading da speaker styles kowane tool tana sa'a don auto-coding by speaker. A NVivo, amfani File → Import → Transcripts. A Atlas.ti da MaxQDA, speaker-paragraph structure ana adana saboda autocoding by speaker ya yi ba tare dapai.
05Ta yaya ya damje accented English ko multilingual interviews?+
Mun goyo 100+ languages tare da auto-detection, haɗa code-switching a single recording. Heavy L2 accents suka zo kusan 85–90% akan clean audio. Don minority languages tare da sparse training data (e.g., wasu African da Indigenous languages), accuracy ƙarami da mun faɗa a language picker.
06Focus groups tare da mutane 6–8 — shin diarization shine aiki?+
Waje-waje. Acoustic diarization sannu sauya 4–5 distinct voices akan shared mic. Fiye daga haka, taro a merge mafi quiet two participants. Fix shine rename pass a transcript editor — mafi focus group transcripts buƙata 10–15 minutes na cleanup.
07Za co-PI da grad students suka iya access transcripts a project gida?+
Eh. Workspaces goyo shared folders tare da per-user permissions — PI iya gane duka interviews, RAs gani kawai assigns cohort. Mafi aiki don multi-site studies inda ba ka son ɗaya student export data na waje.
08Don publication-grade direct quotes, za ka bayyana human pass?+
Ba tukuna, da ba mun gara jiya. Don quotes zuwa thesis ko article, taba mun: yi AI transcript farko, code a CAQDAS tool, sai ture daidai specific 30–60 seconds kusan kowane quote game da audio kafin ya bar. Wannan shine workflow mafi masu bincike mun amfani.

Sauya interview ɗaya. Duba idan transcript akan ta code kamar za ka code.

Kyauta awanni 30 kowane tsari. Babu card. Verbatim mode, hare 100+, CAQDAS-ready DOCX, audio cire cikin 24h.

Fara kyauta