Free Audio to SRT Converter
Automatically generate accurate, time-synced SRT files from MP3, WAV, and other audio files in seconds.
99.9% Accuracy
200+ Languages
Unlimited Minutes
Speaker Recognition
Private and Secure
Convert audio to SRT online with AI. Generate accurate, time-synced subtitles from MP3, WAV, and other audio files in 200+ languages. Export SRT easily.
Audio to SRT Converter uses AI speech recognition to turn spoken audio into a downloadable SRT subtitle file. Rather than returning a single block of text, it listens for where each phrase falls in the recording and writes matching start and end timecodes for every line. Upload an MP3, WAV, or other audio file, and the tool converts the speech to text and works out the timing in the same pass, producing a standard .srt file ready to import into a video editor or upload alongside a video. The source audio stays available so the generated subtitles can be checked against the original recording.
Typing out a transcript is only half of making subtitles — each line still needs to be timed to match the speech before it is usable. Audio to SRT Converter handles both steps automatically, so the exported file is already synced and ready to use. It supports MP3, WAV, and other common audio formats, works across 200+ languages, and returns a complete SRT file in seconds rather than the hours manual captioning can take. There is nothing to install — upload the file in the browser, then download the SRT and drop it straight into a video editor or upload it alongside a video.
Audio still has to be listened to and written down before it can be captioned, and that alone takes time. Once the words are down, each line then needs precise start and end timecodes so it appears on screen exactly when it is spoken — done by hand, this second step is often slower than the transcription itself, especially across a full podcast episode, interview, or course recording. Generic transcript tools stop at the text and leave the timing to the user. Audio to SRT Converter generates the text and the timecodes together, so the output is a subtitle file from the start rather than a transcript that still needs to be timed.
Every line in the exported SRT carries start and end timecodes generated from where the speech falls in the audio, so captions line up with the recording automatically. There is no need to time each line by hand before the file can be used.
Convert once and export the result as SRT for editors and platforms that expect subtitle files, or as VTT or TXT when a different format fits the workflow better. Every format comes from the same transcription, with no need to reprocess the audio.
Generate SRT subtitles from audio recorded in over 200 languages, from widely spoken languages to less common ones. This makes it easier to caption podcasts, interviews, and course recordings for international or multilingual audiences.
Upload an MP3, WAV, or other common audio file, or a video file with an audio track, directly from your device. Audio to SRT Converter works in the browser, with nothing to install.
AI converts the spoken audio into text and calculates start and end timecodes for each line based on where it falls in the recording, producing a synced subtitle draft automatically.
Check the generated subtitles against the audio and make any corrections needed, then download the file as SRT — or export VTT or TXT if a different format fits better.
Use Audio to SRT Converter to turn an MP3, WAV, or other audio file into a time-synced SRT subtitle file in seconds — no manual timestamping required.
Jordan Ellis
YouTube Content Creator
I upload a new video every week, and captions used to be the slowest part of the process. With Audio to SRT Converter, I pull the audio from my recording, upload it, and get a timed SRT file back in about the time it takes to make coffee. I still skim it against the video once before publishing, but the timing is close enough that I'm mostly checking wording, not repositioning lines. It's freed up a big chunk of my upload day.
Priya Nair
Podcast Producer
Our podcast runs long-form interviews, often over an hour, so hand-timing subtitles was never realistic for us. Audio to SRT Converter takes the raw episode audio and returns a full SRT file with the timing already done, which we then drop into the video cut for YouTube and social clips. I do a pass to fix the odd misheard word, especially with guest names, but the timecodes themselves rarely need touching.
Marcus Webb
Freelance Video Editor
I edit for a few different clients, and every project ends with the same question: where's the SRT file? Audio to SRT Converter lets me export straight from the audio track before I even start cutting, so the captions are ready to import into Premiere alongside the footage instead of being an afterthought. It's saved me from the tedious back-and-forth of nudging caption timing frame by frame.
Dana Whitfield
High School Teacher
I record my lectures and post the audio for students who can't make class. Turning that into subtitles by hand was never going to happen with my schedule, so I started running the recordings through Audio to SRT Converter instead. The SRT file comes back with the timing already lined up to what I said, and I only need to glance through it for subject-specific terms before sharing it with the class.
Elena Castillo
Broadcast Journalist
Interview audio is rarely clean — overlapping speech, background noise, someone's phone going off. Audio to SRT Converter still gets me a usable SRT file fast enough that I can caption a clip and have it published the same day. I always listen back against the timestamps before it goes out, since accuracy matters more in my line of work than in most, but it's a much better starting point than a blank transcript.
Sofia Bergman
Content Marketing Manager
Our team publishes the same videos across a few different language markets, and captioning used to mean coordinating with a different vendor for each one. Now we run the source audio through Audio to SRT Converter, check the output, and hand the SRT files straight to our regional teams. It hasn't replaced a native speaker's review, but it cuts out most of the manual transcription and timing work on our end.
