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Ebenetu maka ndị nchọpụtụ nke mahadum.N'anya IRB, CAQDAS-ready, asụsụ 100+.

Webataa agụụ nchọpụtụ ma ọ bụ otu ndị na-atụgharị ọnaọnụ recording. Nweta okwu nwere akara onye na-ekwu, nwere oge, nke dị mma maka NVivo, Atlas.ti, ma ọ bụ MaxQDA — udio e zubere n'ụbọchị 24.

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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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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

↓ Hụ ihe na-apụta

Recording ubi n'ụkwụ. Akwụkwọ nke dị njikere maka iji code.

Anyị na-akara usoro onye ọ bụla na-ekwu nwere oge n'ihe bụ ụtụ, na-agbara filler okwu ma ọ bụrụ na ị chọrọ okwu ziri ezi, na-ebupu DOCX nwere akara onye na-ekwu nke ngwá ọrụ CAQDAS gị maara nke ọma.

Semi-structured agụụ · .wavREC Onye okwu 2 · 1:08:24
auto-detected en-GB44.1 kHz mono · lavalier mic
~90s
Akwụkwọ · streaming94% ike ziri ezi · okwu ziri ezi mode
S1

Ị nwere ike ịgwa m n'ụkwụ ihe mbụ ị hụrụ mgbe dịrịdị gbanwere n'ime mpaghara?

S2

Mm, o were ihe fọrọ nma n'afọ 2019 — ụlọ eze unere dị n'akọrọ wepụrụ, na, eeh, nke ahụ bụ mgbe o kpachara m anya.

S1

Na ihe nke ahụ mụrụ gị dika ị na-ahụ na-eme n'ụbọchị ndị na-eso?

S2

N'eziokwu? Dika mpaghara m ma mma afọ iri atọ na-apụ, akụ ruo n'akụ.

94% na lavalier agụụDOCX (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

Nhọrọ atọ dị mkpa · ntụka ziri ezi

Rev onye mmadụ. NVivo Ebenetu. Ma ọ bụ anyị.

Ọrụ onye mmadụ Rev bụ ndọrọ ndọrọ mke maka akwụkwọ digrii. NVivo na-ebupu ebenetu AI n'ime ngwá ọrụ CAQDAS ahụ. Anyị na-anọ n'etiti — mwanye karịa Rev, ike ziri ezi karịa na IRB-friendly karịa nke NVivo ji ya.

Option 01

Rev (ebenetu onye mmadụ)

Mmadụ na-ede ya. Odinala, oke ego, ma nanị ọkwa kachasị maka okwu ziri ezi na-ebipụ.

Oge nbubataawa 12–24 (nka)
Oke ego · usoro min$1.50 mmadụ / $0.25 AI
Akara onye na-ekwuEe, e tinyere n'aka
Igasịgasị udioE zubere na Rev servers
AsụsụEN mmadụ · ~30 AI
CAQDAS ntughariDOCX, TXT (n'aka)
Best forAgụụ otu na-ejide mma nke sitere maka kutọ n'ọrụ bubataara, ebe ego abụghị ajụjụ.
Option 02

Transcription.Solutions

Akwụkwọ AI na nkeji ole na ole, udio e zubere n'ụbọchị 24, DOCX akpaghara maka NVivo na Atlas.ti itinye.

Oge nbubata~5 min maka faịl 60-min
Oke ego · usoro min$0.03
Akara onye na-ekwuDiarized, mezie n'ụlọ ọrụ
Igasịgasị udioE zubere n'ụbọchị 24
Asụsụ100+, auto-detected
CAQDAS ntughariDOCX heading styles + TXT
Best forNdị nchọpụtụ na-eme agụụ 20+ na-achọ akwụkwọ mma mbụ karị, mgbe a na-edi n'aka okirikiri 5% nke akwụkwọ a na-ebipụ.
Option 03

NVivo Ebenetu / Otter

Ebenetu AI tinyere na ngwá ọrụ CAQDAS gị ma ọ bụ note-taker. Dị mma, EN-leaning, ike ojupụ ole na ole.

Oge nbubataYiri (AI)
Oke egoCredit packs · ~$0.30/min
Akara onye na-ekwuAcoustic, EN-tuned
Igasịgasị udioJikọ na subscription
AsụsụNon-EN ike ziri ezi na-ada
CAQDAS ntughariNative maka NVivo naanị
Best forPhD student ibe na-arụ ọrụ naanị na EN n'ime CAQDAS ecosystem otu na-achọ bili otu.

Oke ego na feature flags ziri ezi tupu n'afọ 2026. Nkekọ AI/onye mmadụ Rev na NVivo Ebenetu credit pricing gbanwe site n'mpaghara na akwụkwọ mahadum.

Pụtara na nyocha dị ụkọ

Ihe atọ na-akụ ndị nchọpụtụ na ngwá ọrụ ebenetu nke omume.

Mezie njikọ ziri ezi tupu webataa na akwụkwọ ahụ na-abañ ozugbo n'aka pụrụ iche gị CAQDAS.

Ihe na-eme njọ

  1. 1Okwu filler e zubere ziri ezi. AI nke omume zubere "um", "like", false starts — mma maka nke nzukọ, ọnwụ maka conversation analysis.
  2. 2Okwu ngwá ọrụ domain (ihe nyocha, aha ọgwụ, aha mpaghara, okwu ekwentị) na-edenye n'ụzọ fọno. Na-iji code mgbe a na-atụnanya find-and-replace oge.
  3. 3Udio na-anọ ng otu vendor servers na-enweghị oke. Ọtụtụ pụrụ iche IRB data management na-achọ zubete ma ọ bụ igasịgasị na-ejikọ — vendors ajọparị dokumenti ihe a n'ụzọ ziri ezi.

Ihe mezie n'ebe a

  1. 1Gbanwee na Verbatim mode na ọrụ ibe. Anyị na-agbara fillers, false starts, mkpokọta, na laugh markers — clean mode bụ nhọrọ-n'aka, ọ bụghị ndọrọ ndọrọ mke maka ndị nchọpụtụ.
  2. 2Paste akwụkwọ akara gị na aha n'akụkụ nke ụlọ ka Vocabulary Ọkarị. Anyị na-ezigara ya dika ịmata ụfọdụ, ọ bụghị substitution siri elu, ka njikọ ga-emenweghị uche n'ụzọ ziri ezi.
  3. 3Udio bụ e zubere n'ụbọchị 24 sitere na ulo-ọrụ. Akwụkwọ na-agbara n'akụntụ gị. Anyị nwere ikike inyere ihe zubete ike maka faịl IRB gị ma ọ bụrụ na ị chọrọ.

Njikọ ọrụ a na-atụnanya maka agụụ nchọpụtụ

Webataa udio ubi na njikọ ndị a na-emegide n'ijikọ n'aka. Mezie kwa ọrụ site na ibe.

Mode
Verbatim (fillers + false starts na-agbara)
Speaker model
Agụụ · onye okwu 2–8
Asụsụ
Auto-detect · accent-tolerant
Timestamps
Usoro onye okwu �� bụla
Igasịgasị udio
Zubete n'ụbọchị 24
Ntughari
DOCX (CAQDAS styles) · TXT · SRT

Accuracy · real-world numbers

94% na clean lavalier agụụ. Ihe ehie banyere ihe ubi na-akọ.

Udio ubi bụ okwu siri ike na ebenetu — ụlọ mepere, Bekee nwere akpughe ụtụ, okwu na-akpaghara okwu na otu ndị na-atụgharị. Agụụ lavalier-mic dyadic na-akamata ngwụcha; ambient udio ubi na naanị otu ndị na-atụgharị na-ada mwanye. Onu ọ na-ada site na upload ndị nchọpụtụ n'ezie, ọ bụghị synthetic benchmarks.

95%
1-na-1, lavalier ma ọ bụ USB mic

Ụlọ dị jụụ, onye L2 ma ọ bụ onye bi ya dimdim, recorder n'isioro. Kachasị mma maka semi-structured agụụ — naanị ihe nyocha dyadic na-adụ n'ebe a.

91%
Handheld recorder, onye okwu 2–3

Zoom H4n ma ọ bụ phone recorder mid-table. Akara onye na-ekwu kwa nkwụ. Na-atụnanya mwepu oge nkwụ 5-min.

85%
Agụụ ubi, udio gburugburu

Kábì, ụlọ ahịa, na-ejewapụ agụụ. Okwu usoro gburugburu na ihe ọkụ na-emesia okwu kwuo ole na ole; usoro buru ibu na-agbasikepe.

80%
Otu ndị na-atụgharị, onye okwu 5–8

Okwu na-akpaghara na mic agbapụ. Diarization ga-emekọ hụ ndị na-ekwu ụtụ ole na ole — na-atụnanya ịmazi azụ n'oge iji code.

Ajụjụ nkwụ

Ihe 8 ndị nchọpụtụ na-ajụ banyere ebenetu akwụkwọ.

01Nke a ọ kwubọ n'okpuru pụrụ iche ndọrọ ndọrọ IRB data management?+
Ọtụtụ pụrụ iche anyị hụrụ na-agbagheepu anyị mgbe ha gagụ ihe abụọ: udio e zubere n'ụbọchị 24 sitere na ọrụ na-agwụ, na akwụkwọ na-anọ naanị n'akụntụ nke ndị nchọpụtụ. Ọ bụghị IRB onwe anyị — bọọdụ gị na-ekpebi ihe ikpeazụ — ma anyị ga-enyere ihe edepụtaara maka pụrụ iche gị n'adịghị mma.
02Ịna-agbara agụụ nke m?+
Mba. Faịl udio ahụ bụ e zubere n'ụbọchị 24 sitere na ọrụ na-agwụ. Naanị akwụkwọ na-anọ n'akụntụ gị, na ị nwere ike zubete ya mgbe ọ bụla. Ọ bụghị udio nchọpụtụ anyị na-eji mụọ ihe ọmụmụ.
03Ị nwere ike iji okwu ziri ezi — nwere fillers, false starts, na overlaps — maka conversation analysis?+
Ee. Toggle Verbatim mode na ọrụ ibe na anyị na-agbara "um", "uh", mkpokọta, false starts, na laugh tokens. Overlap na-akara nwere brace symbol n'nsọpụrụ usoro. Anyị emenweghị Jefferson notation n'ụtụ — nke ahụ bụ naanị onye mmadụ uge.
04Ọ ga-abañ DOCX n'ụzọ ziri ezi n'ime NVivo, Atlas.ti, ma ọ bụ MaxQDA?+
Ee. DOCX anyị na-eji heading na speaker styles ọ bụla ngwá ọrụ na-atụnanya maka auto-coding site n'onye na-ekwu. Na NVivo, jiri File → Import → Transcripts. Na Atlas.ti na MaxQDA, speaker-paragraph nhọrọ na-agbara kwa anyị na-eme code site n'onye okwu na-agbara n'ụzọ ziri ezi.
05Ọ na-ahụ kedu ụzọ Bekee nwere akpughe ụtụ ma ọ bụ agụụ nwere asụsụ abụọ?+
Anyị na-akwado asụsụ 100+ nwere auto-detection, gụnyere code-switching n'otu ihe nkiri. Heavy L2 accents na-ada gburugburu 85–90% na udio ziri ezi. Maka asụsụ ole na ole nwere data ike ole na ole (dịka ụfọdụ African na Indigenous asụsụ), ike ziri ezi na-ada na anyị na-asị ya na asụsụ picker.
06Otu ndị na-atụgharị nwere onye okwu 6–8 — diarization na-arụ ọrụ na-ezie?+
Naanị ihe ole na ole. Acoustic diarization na-ahụ okwu pụrụ iche 4–5 na mic agbapụ. Karịa nke ahụ, na-atụnanya model ga-emerụ ndị na-ekwu ụtụ ole na ole. Ndozi bụ egosipụ oge na transcript editor — ọtụtụ akwụkwọ otu ndị na-atụgharị na-achọ 10–15 nkeji nwee ike.
07Ọ ga-esi na co-PI na graduate ndị agụmagụ ka-akwado akwụkwọ n'ime pụrụ iche otu?+
Ee. Workspaces na-akwado shared folder nwere mma onye nkita — PI nwere ike hụ agụụ nile, RAs na-ahụ naanị cohort ha. Dị mma maka nyocha multi-site ebe ịjọ student ka-ewepu data nke ibe.
08Maka akwụkwọ ziri ezi grade mma maka mma, ị na-enye onye mmadụ oge?+
Mba ma, na anyị agamañụ aha. Maka akwụkwọ na-abanyere atụta ma ọ bụ akwụkwọ, aniụma anyị bụ: rụọ AI akwụkwọ nke mbụ, code na CAQDAS ngwá ọrụ gị, mgbe a mezie usoro 30–60 sekọnd gburugburu akwụkwọ ọ bụla n'ebe ahụ na udio tupu a zubete. Nke ahụ bụ ihe mmeghachi ndị nchọpụtụ nkeciya anyị na-eji.

Webataa agụụ ibe. Hụ ma akwụkwọ na-eme code n'ụzọ ị ga-eme ya.

30 free nkeji kwa mwan. Mma card. Verbatim mode, asụsụ 100+, CAQDAS-ready DOCX, udio e zubere n'ụbọchị 24.

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