Àkọlé àwòrán

Àwọn Àwọn Àkọlé

Ṣàfikún láti inú àwọn ìrísí-lẹ́tà SRT, VTT, SSA/ASS, SBV, TXT, àti JSON nígbà kan. 100% ìsàlẹ̀-ilà kọńputa -- àwọn fáìlì rẹ̀ kò fi ojú-ìwé rẹ̀ kù.

Lọ fáìlì àwọn àmì-ìwé rẹ̀ síbẹ̀ tàbí tẹ̀ láti ṣàfihàn

SRT, VTT, ASS, SSA, SBV, TXT, JSON

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Àwọn Àtòjọ-ẹ̀yàn 

          

        

      


      
      

        
Àwọn ìrísí-lẹ́tà ìpele

        

          

            

              
SRT (SubRip)

              
Àwọn ìrísí-lẹ́tà ìpele tí a lò jú lọ. Àwọn àwọn àwọn oṣèlù mìíràn àti àwọn àwọn ààyè-iṣẹ́ vidéò. Lò àwọn mìílísekúǹtì tí a tí àpàdé (HH:MM:SS,mmm).

            

          

          

            

              
VTT (WebVTT)

              
Web Video Text Tracks format. Designed for HTML5 video and supported by all modern browsers. Uses dot-separated milliseconds (HH:MM:SS.mmm).

            

          

          

            

              
ASS / SSA (SubStation Alpha)

              
Ń rọ́ọ̀nù ìṣàfarawé, ìṣàfilọ́lẹ̀, àwọn ìṣàfilọ́lẹ̀ karaoke, àti àwọn ìṣàfilọ́lẹ̀ ìṣàfarawé. A mọ̀ nínú àwọn àwọn ìṣàfilọ́lẹ̀ anime àti àwọn ìṣàfilọ́lẹ̀ àwọn àkọsílẹ̀ ìsàlẹ̀-ilà tí a tí ìṣàfilọ́lẹ̀.

            

          

          

            

              
SBV (Àwọn Àwòrán Àwọn Àkọsílẹ̀ YouTube)

              
SubViewer format used natively by YouTube. Simple timestamp format ideal for video platform uploads and basic captioning.

            

          

        


        
Bii o ṣe le Ṣàfikún Àwọn Àkọlé

        

          

            

              
1

              
Fipalẹ̀ àtì Pà

              
Lọ́ọ̀kan fáìlì àwọn àmì-ìwé rẹ̀ tàbí pàtó àwọn ìrísí-lẹ́tà rẹ̀ láti inú àtòjọ-ẹ̀yàn.

            

          

          

            

              
2

              
Yan Ìgúnrégé Àtòjọ-ẹ̀yàn

              
Àwọn ìgúnrégé ìpamọ́ nípa ìṣàfihàn. Yan ìgúnrégé ìṣàfihàn tí o fẹ̀ láti inú àtòjọ-ẹ̀yàn.

            

          

          

            

              
3

              
Ṣàfikún & Àwòrán

              
Tẹ̀ Àyipada láti wó àwòrán, láti gbọ́nú àwọn fáìlì tàbí kọ́ nínú àwọn ìṣàmúlò-ètò.

            

          

        

      

    

  







    

        ❤️ Bí STT.ai? Fì sọ̀kalẹ̀ fún àwọn ọrẹ̀ rẹ̀!
        

            
            
            
            
            
        

    














    

        
Àwọn Àtòjọ-ẹ̀yàn


        

        

            
            

                

                
subtitle conversion runs in your browser: paste a URL, upload a file, or record from your mic. STT.ai picks the AI model and returns the transcript in under 5 minutes. Export as TXT, SRT, VTT, DOCX, JSON, or PDF.

            

            
            

                

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

            

            
            

                

                
subtitle conversion 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.

            

            
            

                

                
subtitle conversion can run on any of STT.ai's 10+ models — STT.ai Enhanced (most accurate), Whisper Large V3 (99 languages), NVIDIA Canary (#1 WER on supported langs), Whisper Turbo (fast), Moonshine (lightweight), and more.

            

            
            

                

                
Yes. Every transcript exports as SRT or VTT — works with YouTube, Vimeo, TikTok, VLC, and every major video player. The burn-subtitles tool overlays them onto video as hardsubs.

            

            
            

                

                
Yes. Speaker diarization automatically labels each voice (Speaker 1, Speaker 2, ...) and you can rename them in the built-in editor. Works across all models and languages.

            

            
            

                

                
Most subtitle conversion 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.

            

            
            

                

                
subtitle conversion accepts 20+ formats — MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, and more. Output to TXT, SRT, VTT, DOCX, JSON, or PDF.

            

            
            

                

                
Yes. Audio files submitted to subtitle conversion 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.

            

            
            

                

                
Yes. STT.ai offers a REST API with Python and Node.js SDKs, plus an MCP server for Claude and Cursor — all usable for subtitle conversion workflows. Free API tier includes 100 minutes/month.

            

            
            

                

                
Yes. Every transcript opens in the built-in editor where you can correct words, rename speakers, adjust timestamps, and add notes. All changes save automatically.

            

            
            

                

                
Every transcript gets a unique shareable URL. Export to DOCX or PDF for email. Pro plans add password-protected and permanent links — useful for client work.

            

            
            

                

                
STT.ai handles 1,300+ platforms including YouTube, Vimeo, TikTok, SoundCloud, Zoom, Google Meet, podcast hosts, and more. URL transcription works with publicly-available content only — DRM-protected sources can't be transcribed.