Tatero kilema / fangatahana endri-javatra

Free DivX Converter

Manova avy hatrany ny lamin'ny dikanteny SRT, VTT, SSA/ASS, SBV, TXT, ary JSON. 100% eo amin'ny lafiny mpivatsy -- tsy miala amin'ny mpitety tranonkala mihitsy ny rakitrao.

Atsofohy eto ny rakitry ny dikanteny na tsindrio eto hizaha azy

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

Fiantsoana
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Fotoana
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Teny
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Famoahana naova 

          

        

      


      
      

        
Momba ny lamin'ny dikanteny

        

          

            

              
SRT (SubRip)

              
Ny lamina dikanteny ampiasaina betsaka indrindra. Mifanaraka amin'ny mpilalao media sy sehatra lahatsary rehetra. Mampiasa milisegaondra voafaritry ny virtoaly (HH:MM:SS,mmm).

            

          

          

            

              
VTT (WebVTT)

              
Lamin'ny soratra amin'ny lahatsary an-tserasera. Natao ho an'ny lahatsary HTML5 ary raisin'ny mpitety tranonkala maoderina rehetra an-tànana. Mampiasa milisegaondra voafaritry ny teboka (HH:MM:SS.mmm).

            

          

          

            

              
ASS / SSA (SubStation Alpha)

              
Mandray an-tànana ny endrika, ny toerana, ny vokatry ny karaoke, ary ny fanoratana avo lenta. Malaza amin'ny fansubs anime sy ny famokarana dikanteny sarotra.

            

          

          

            

              
SBV (YouTube SubViewer)

              
Lamin'ny SubViewer ampiasaina amin'ny YouTube. Lamin'ny fotoana tsotra tsara indrindra ho an'ny fampidinana lahatsary sy ny dikanteny fototra.

            

          

        


        
Ahoana ny fanovana ny dikanteny

        

          

            

              
1

              
Handefa na hametraka

              
Atsofohy ao anatin'ny fanovana ny rakitry ny dikanteny na apetaho mivantana ao anatin'ny fanovana ny votoatin'ilay izy.

            

          

          

            

              
2

              
Safidio ny lamina famoahana

              
Hita hoazy ny lamina fampidirana. Safidio avy amin'ny lisitry ny fisehoana ny lamina fampidirana tianao.

            

          

          

            

              
3

              
Hanova sy hamerina

              
Tsindrio ny Fanova raha te hahita ny topimaso, dia kitiho ny "Ampidiro ao anaty fanindri-taratasy" na "Adikao ao anaty fanindri-taratasy" ny rakitra.

            

          

        

      

    

  







    

        ❤️ Toy ny STT.ai? Lazao amin'ny namanao!
        

            
            
            
            
            
        

    














    

        
Fanontaniana matetika


        

        

            
            

                

                
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.