Question 1

Bawo ni Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò ṣe n ṣiṣẹ́ lórí STT.ai?

Accepted Answer

Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò n bọ nínú àwá-ìwé rẹ: pa URL kan, gbé fáìlì lọ́wọ́lọ́wọ́, tàbí kọ́pà láti inú míkòòdù rẹ̀. STT.ai gba àwọn àwọn móòdù AÌ láti pà àwọn àkọ́lé padà sípò nínú àwọn àkókò 5. Fi pamọ́ lórí TXT, SRT, VTT, DOCX, JSON, tàbí PDF.

Question 2

Is Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò free?

Accepted Answer

Yes — every visitor gets 600 free minutes/month on STT.ai, usable for Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò the same as any other workflow. Paid plans starting at $5/month unlock longer files, private transcripts, and priority queueing.

Question 3

How accurate is Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò?

Accepted Answer

Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò runs on the same AI models as the rest of STT.ai — our best models reach 95-97% accuracy on clean speech (3-5% Word Error Rate on benchmarks). Switch models on the fly if the first pass is below your target.

Question 4

Àwọn ìṣàmúlò-ètò AI wo ní mò lè lo fún Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò?

Accepted Answer

Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò can run on any of the Whisper models STT.ai hosts — STT.ai Enhanced (Whisper large-v3, most accurate, on paid plans), Whisper Large V3, Whisper Turbo (fast), Whisper Medium and Whisper Small.

Question 5

Ń lè gba àwọn àkọlé láti inú Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò?

Accepted Answer

Ya. Gbogbo àwọn ìṣàmúlò-ètò náà náà láti inú SRT tàbí VTT - lò nípa YouTube, Vimeo, TikTok, VLC, àti gbogbo àwọn awáròyìn àwòrán nla. Àtòjọ-ẹ̀yàn àwọn àkọlé-ìdákọ́ náà náà sí àwòrán bí àwọn àkọlé-ìdákọ́.

Question 6

Does Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò detect different speakers?

Accepted Answer

Ya. Ìṣàfihàn àwọn àkọlé àìdálẹ̀ àwọn àkọlé àìdálẹ̀

Question 7

Ìgbà wò nínú Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò náà?

Accepted Answer

Most Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò jobs finish in under 5 minutes. A 1-hour audio file typically completes in 2-3 minutes with our fastest models. Speed depends on chosen model and current GPU load.

Question 8

Àwọn ìrísí-lẹ́tà wo nínú Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò náà?

Accepted Answer

Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò gba àwọn ìrísí-lẹ́tà 20+ - MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, àti àwọn mìíràn. Àwọn ìṣàfilọ́lẹ̀ sí TXT, SRT, VTT, DOCX, JSON, tàbí PDF.

Question 9

Àwọn àwòrán mìíràn mìíràn nígbà tí mò bá lo Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò?

Accepted Answer

Yes. Audio files submitted to Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò are processed and deleted by default. Pro plans add client-side encryption — even if STT.ai's database is breached, your transcripts are unreadable without your key. Data is never used for model training without explicit opt-in.

Question 10

Is there a Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò API?

Accepted Answer

Ya. STT.ai nfun REST API pẹlu Python ati Node.js SDKs, nínú àwọn sáà MCP fún Claude ati Cursor — gbogbo àwọn tí a lè lò fún Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò àwọn ìṣàmúlò-ètò iṣẹ́. Àwọn ààyè API àìfẹ́ ní 100 àkókò/óṣù.

Question 11

Ń lè yipada àkọ́lé Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò láti inú àwọn àkọ́lé?

Accepted Answer

Ya. Àwọn ìṣàmúlò-ètò gbogbò tí a ṣì nínú àwọn àkọ́lé ààyè-iṣẹ́ tí a fi pamọ́ nínú àwọn àwọn àmì-ìwé, àwọn àkọ́lé àwọn àkọ́lé, àwọn à

Question 12

Bawo ni mo ṣe lè pinpin ohun tí Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò ń ṣẹ̀dà?

Accepted Answer

Àwọn àkọ́lé gbogbó ní gba URL tí a lè gbọ́dọ̀ kọ̀ọ̀kan. Ṣàfikún sí DOCX tàbí PDF fún àìwé-ìwé. Àwọn àwọn à

Question 13

Àwọn àwọn ààyè-iṣẹ́ wo nínú Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò?

Accepted Answer

STT.ai n ṣetọju awọn oju-iwe ayelujara 1,300+ pẹlu YouTube, Vimeo, TikTok, SoundCloud, Zoom, Google Meet, awọn ile-iṣẹ podcast, ati diẹ sii. Iyipada URL n ṣiṣẹ pẹlu awọn ohun ti o wa ni gbangba nikan - awọn orisun ti a daabobo nipasẹ DRM ko le ṣe atunṣe.

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