WAV to Text
Upload WAV files up to 5 GB and get accurate transcripts with speaker labels and timestamps in seconds.
99.9% Accuracy
200+ Languages
Unlimited Minutes
Speaker Recognition
Private and Secure
Convert WAV to text free with AI. Batch upload WAV files up to 5 GB and get transcripts with speaker labels and timestamps. Queue up to 5 tasks at once.
WAV to Text converts WAV audio recordings into accurate, editable transcripts using AI speech recognition. WAV is an uncompressed format, so files grow large fast — a single hour of studio-quality audio can reach a gigabyte or more. WAV to Text is built around that reality: files up to 5 GB can be uploaded directly, without converting to MP3 first, and multiple WAV files can be added to a queue and transcribed together instead of one at a time. Each transcript includes speaker labels and timestamps, and stays linked to the source audio for review.
Most free transcription tools were built around compressed audio and cap uploads at 25–100 MB, which covers only a few minutes of WAV. WAV to Text raises that ceiling to 5 GB per file, so a full interview, lecture, or field recording session uploads in one piece. When there is more than one file to process, the batch queue takes up to 5 WAV files at a time, so a folder of recordings can be loaded once instead of repeating the upload-wait-download cycle for each one. No signup is required to get started, and the original transcript stays paired with the audio for a final check before it's used.
Uncompressed audio is exactly what makes WAV useful for professional recording, and exactly what causes it to hit upload limits everywhere else. Field recorders, Audacity exports, and DAW renders default to WAV, and a single hour at studio quality can weigh in well over a gigabyte. Most free online converters cap uploads at 25–100 MB, so a long recording either has to be converted to MP3 first, an extra step, and one that feels backwards for a format chosen to preserve quality, or split into pieces before it can even be transcribed. WAV to Text removes both bottlenecks at once, accepting files up to 5 GB and letting up to 5 of them queue and transcribe together.
Upload WAV files up to 5 GB each — no need to compress to MP3 or split a long recording first. That covers roughly 8 hours of CD-quality WAV, enough for a full-day interview session or a multi-hour lecture capture in one file.
Add up to 5 WAV files to the queue at once. WAV to Text works through them in the background, so a folder of recordings can be loaded a single time instead of uploaded one by one.
Every transcript separates speakers automatically and marks timestamps throughout, keeping interviews, meetings, and multi-person recordings easy to follow and easy to trace back to the original audio.
Drop a single WAV file or select several to add to the batch queue. Files up to 5 GB each are supported, with up to 5 processing at once.
WAV to Text works through the queue automatically — converting speech to text, separating speakers, and adding timestamps as each file finishes.
Read each transcript next to its source audio, correct any details that need a closer look, and download or copy the finished text.
Daniel Ortiz
Podcast Producer
My interview episodes get recorded straight to WAV, and a single hour-long conversation used to blow past every free tool's upload limit before I even started editing. Now I load a week's worth of episode audio into the queue at once and come back once everything's transcribed. I still listen back to confirm names and any technical terms guests use, but I'm no longer converting files to MP3 just to get them through the door.
Priya Nair
Field Researcher
Fieldwork interviews don't always happen somewhere I can re-record if something goes wrong, so I record in WAV and don't want to touch the file until I'm back at my desk. Being able to upload a full day of interviews at 5 GB each without splitting them has saved a lot of time between sites. I always cross-check place names and local terms against the audio, but the batch queue means I'm not babysitting one upload at a time.
Chris Bennett
Audio Engineer
Everything out of my DAW renders as WAV by default, and I use rough transcripts mainly to find a line in a long session rather than as a finished document. Being able to drop in several session exports together instead of converting each one down first fits how I actually work. Timestamps make it fast to jump back to the exact moment in the mix I'm looking for.
Emily Zhou
Graduate Student
My recorder saves interviews as WAV, and between thesis fieldwork and lecture recordings I ended up with dozens of files that were too large for most free tools. Queuing five at a time instead of uploading each one separately made getting through a semester's worth of recordings much less tedious. I still go back to the audio for anything I plan to quote directly.
Marcus Webb
Corporate Trainer
Our training sessions run long and get recorded on a conference-room device that only outputs WAV, so file size was always the first obstacle before I could even get a transcript. Speaker labels help me separate my notes from questions the group asked, which used to take real effort to sort out by ear. I run through the transcript against the recording before sending summaries out, but the starting point is much further along now.
Laura Fitzgerald
Freelance Journalist
On a tight deadline, I'm usually transcribing several source interviews at once, and most of my recordings are large WAV files from a handheld recorder. Being able to queue them together instead of waiting on one upload before starting the next has changed how I plan my afternoon. I still verify every quote against the timestamped audio before it goes in a story, but I'm not losing time to file-size errors anymore.
