Audio to Text
Convert audio recordings into accurate, editable transcripts for meetings, interviews, and content workflows.
Try Audio to TextTurn clean WAV recordings into subtitle files with readable timing. Upload voice tracks, lecture audio, interview captures, or production exports and generate SRT captions ready for editing.
Supports MP3, MP4, MPEG, MPGA, M4A, WAV, WEBM formats, max 25MB
Follow a simple WAV to SRT workflow from source audio to a timed subtitle file you can edit, translate, or publish.
Choose a WAV file for WAV to SRT from a voice-over session, lecture recording, interview, screen recording, or post-production export.
Keeping the original WAV source can help preserve speech detail while the WAV to SRT tool prepares timed subtitle cues.
Select the spoken language or use auto detection, then start the WAV to SRT transcription process.
The WAV to SRT result is arranged as subtitle blocks, so it can move directly into a caption review or editing workflow.
Check important phrases in the WAV to SRT draft, adjust specialist terms, then download the subtitle file for your video or publishing platform.
Use the finished WAV to SRT output for captions, translated subtitle projects, searchable video assets, or accessibility updates.
Upload a WAV file or record audio in the browser to generate a timestamped WAV to SRT subtitle draft.
Move from high-quality audio to structured WAV to SRT subtitle cues that are easier to review, translate, and import into editing tools.
The WAV to SRT workflow listens for spoken phrases and formats them into subtitle segments with timecodes, so your first pass is already organized for review.
Use WAV to SRT with direct exports from recorders, DAWs, cameras, voice-over sessions, and cleanup tools without compressing your audio before subtitle generation.
Upload a WAV file or record a fresh clip, generate a timed WAV to SRT draft, and spend your time checking names, line breaks, and scene context.
Download WAV to SRT subtitles for video editors, course platforms, social clips, accessibility updates, or localization handoff.
Upload a WAV recording, choose the language, and create timestamped SRT subtitles with AI
Drag & drop an audio file here or click to upload
MP3, MP4, MPEG, MPGA, M4A, WAV, WEBM formats supported
Maximum file size: 25MB
Guest Mode: 5 free credits per month. Login for more features
Your transcription will appear here
Upload an audio file to start transcription
Flexible pricing options for different needs
Perfect for individuals
For professionals and teams
For large organizations
Explore specialized transcription and subtitle tools for your file format and workflow.
Convert audio recordings into accurate, editable transcripts for meetings, interviews, and content workflows.
Try Audio to TextTurn MP3 files into clean, editable transcripts for podcasts, interviews, and meeting recordings.
Try MP3 to TextTranscribe high-quality WAV recordings into editable text for production, research, and documentation.
Try WAV to TextExtract spoken content from MP4 videos and convert it into searchable text in minutes.
Try MP4 to TextConvert live speech or voice recordings into accurate text for notes, summaries, and documentation.
Try Speech to TextTranscribe video audio into text for content repurposing, SEO publishing, and team collaboration.
Try Video to TextConvert podcast episodes into editable transcripts for show notes, SEO pages, newsletters, and content repurposing.
Try Podcast to TextGenerate timestamped SRT subtitles from audio to speed up caption workflows and localization.
Try Audio to SRTConvert MP3 recordings into ready-to-use SRT subtitle files for editors, creators, and publishers.
Try MP3 to SRTTurn MP4 videos into timestamped SRT subtitles for fast editing, publishing, and multilingual caption workflows.
Try MP4 to SRTConvert spoken audio into timestamped SRT subtitles for interviews, lessons, meetings, and accessibility workflows.
Try Speech to SRTConvert video audio into timestamped SRT subtitles for editing, publishing, localization, and accessibility workflows.
Try Video to SRTCreate timestamped SRT subtitle files from podcast audio for video clips, captioned episodes, and social distribution.
Try Podcast to SRTGenerate WebVTT subtitles from audio for HTML5 players, online courses, and modern caption workflows.
Try Audio to VTTConvert MP3 audio into WebVTT captions for browser players, lesson portals, and web publishing teams.
Try MP3 to VTTCreate WebVTT subtitle files from MP4 videos for websites, learning platforms, demos, and browser-based playback.
Try MP4 to VTTTurn spoken audio into WebVTT captions for tutorials, product demos, training sessions, and browser playback.
Try Speech to VTTConvert spoken video content into WebVTT captions for websites, course libraries, product demos, and embedded players.
Try Video to VTTGenerate WebVTT caption files from podcast episodes for web players, embedded videos, and online learning pages.
Try Podcast to VTTJoin thousands of professionals who are already using Aidio for audio to text conversion
"Aidio has revolutionized my workflow. What used to take hours of manual audio transcription now takes just minutes with transcribe audio to text service."

Answers about WAV to SRT subtitle timing, WAV compatibility, editing, and export options
Yes. Upload your WAV audio, choose the language, and use WAV to SRT to generate a subtitle file with timed text blocks.
A WAV to SRT output creates a common subtitle format used by video editors, media players, course platforms, social channels, and many publishing workflows.
No. You can create WAV to SRT subtitles from the audio track alone, then import the file into your editor or attach it to the matching video later.
Clear speech, steady volume, limited echo, and low background noise usually create better subtitle timing and cleaner text.
Yes. Review the WAV to SRT result, correct names or technical terms, then download the revised subtitle file.
The workspace also supports plain text and VTT exports, so you can choose the format that fits your editor or player.
WAV can preserve more source detail, but final quality still depends on microphone placement, noise, overlapping voices, and speech clarity.
Yes. The transcription workflow supports multiple spoken languages and can detect the language automatically when needed.