Drag and drop or paste an audio file - MP3, WAV, M4A, AAC, OGG, or FLAC, up to 2GB per file - and get an instant transcript, an AI summary, and a chat box you can ask questions of. The upload runs through a single drop zone in the browser; processing starts the moment the file lands. Outputs include a timestamped transcript in 36+ languages, a summary you can edit, a shareable playback link, and an AI chat trained on the audio contents. Need transcription only? See the transcription tool.
Used daily by 2M+ people for audio file processing. Uploads run through AES-256 encryption on GDPR-compliant servers. Every file is private by default with optional password protection, automatic malware scanning, and a 99.9% uptime guarantee.
Audio File Upload Service - Inputs and Outputs
Upload an audio file and the service returns four artifacts: a streaming link, a full transcript, an AI-generated summary, and a private chat window where you can ask the recording questions (“What did the second speaker say about the budget?”).
How the audio upload flow runs:
- Drag a file into the drop zone, click to browse, or paste from clipboard
- The file uploads to the audio file upload service while transcription begins in parallel
- A transcript, summary, and shareable link appear in the dashboard, usually inside a minute for a one-hour recording
Audio file inputs the upload service accepts:
- MP3 (any bitrate)
- WAV (PCM, 16/24-bit)
- M4A (AAC inside MP4 container)
- AAC (raw)
- OGG (Vorbis and Opus)
- FLAC (lossless)
- Files up to 2GB on paid plans, 100MB on free
The audio upload service preserves the source bitrate during streaming playback and resamples a separate copy for transcription. Neither pass overwrites the original you uploaded.
Upload an MP3 online free. No card, no signup for the first file. Drop an audio file into the page and the transcript appears in seconds.
What You Get After Uploading an Audio File
Each upload produces a single processed record you can return to later. The record contains four things at once: the original file (downloadable), a transcript with speaker labels and timestamps, a summary you can regenerate or edit, and a chat thread tied to the audio contents.
The hosted playback link is a side-effect, not the headline. It works on phones and desktops without an account, but the main value of an audio upload service is that the audio is now searchable text, queryable through chat, and exportable as TXT, SRT, VTT, DOCX, or JSON.
What an uploaded audio file gives you:
- Transcript in 36+ languages with timestamps
- AI summary that points at the timestamps it cites
- Chat that answers questions about the recording
- Speaker labels (when the audio has more than one speaker)
- SRT and VTT subtitle files for captioning
- Shareable playback link with optional password
- Per-file analytics: plays, geographic location, completion rate
The audio file upload service handles a single drop, a clipboard paste, or a batch of files (up to 50 at once on paid plans). If you need to hand the source video off instead, the video to link converter covers MP4/MOV, and extract audio from videos pulls the audio out for separate processing.
How an Audio Upload Runs From Browser to Transcript
Three things happen the moment you drop an MP3 onto the page: the browser begins a chunked upload, the back end registers a transcription job, and a placeholder record opens so you can watch progress. Typical timings for a one-hour MP3 on a 50 Mbps connection are 10 seconds of upload and 60 seconds of transcription, running mostly in parallel.
The steps an audio file walks through:
- The drop zone accepts the file (drag, click-to-browse, or clipboard paste)
- Bytes stream up in 5MB chunks with resume support if the connection drops
- Transcription starts on the first chunk and finishes shortly after the last chunk lands
- The transcript, summary, and chat all attach to the same record
Batch uploads let paid users queue up to 50 audio files. The queue processes in parallel, not serially, so a folder of 20 lecture recordings finishes in roughly the time the slowest one takes.
Settings you can toggle per upload:
- Vanity URL for the shareable link (paid)
- Password gate on the playback page
- Transcription language (auto-detect or pick one of 36+)
- Speaker labels on or off
- Public, unlisted, or private visibility
- Embeddable player snippet for blog posts
Free accounts cap each upload at 100MB. Paid plans extend the ceiling to 2GB and unlock priority transcription, which moves the file to the front of the queue.
Try the upload audio file flow now. No card, no signup for the first file. Drop one in.
Why upload an audio file instead of attaching it to an email?
Mail servers reject attachments above 25MB and many corporate gateways block compressed audio entirely. An audio upload service hands you a hosted link the recipient can play from any browser, plus a transcript they can skim before listening - email attachments give them an icon they have to download, save, and open in something else.
What separates a good audio file upload service from a generic file host?
A good audio file upload service does three things a generic host does not: it transcribes the file, it speaker-labels the transcript, and it gives you a searchable chat across the audio contents. Dropbox or Google Drive store the file; an audio upload service turns the file into text you can read, search, and answer questions about.
Audio File Upload Service Compared to Otter, Notta, Sonix, Trint, Descript
| Spec | ScreenApp | Otter.ai | Notta | Sonix | Trint | Descript |
|---|---|---|---|---|---|---|
| Max file size | 2GB paid, 100MB free | 5GB (Business) | 5GB (Pro) | 4GB | 4GB | 5GB |
| Accepted formats | MP3, WAV, M4A, AAC, OGG, FLAC | MP3, WAV, M4A, AIFF | MP3, WAV, M4A, AAC, CAF | MP3, WAV, M4A, AAC, AIFF, FLAC | MP3, WAV, M4A, AIFF, OGG | MP3, WAV, M4A, AAC, FLAC |
| Processing time (1hr file) | ~1 minute | 5-10 minutes | 5-8 minutes | 5-10 minutes | ~real-time | 5-15 minutes |
| Free tier minutes | 300 minutes/month | 300 minutes/month | 120 minutes/month | 30 minutes one-time | None (trial only) | 60 minutes/month |
| Output formats | TXT, SRT, VTT, DOCX, JSON, MP3 stream | TXT, DOCX, PDF, SRT | TXT, DOCX, SRT, PDF, XLSX | TXT, DOCX, SRT, VTT, JSON, PDF | TXT, DOCX, SRT, VTT, EDL | TXT, SRT, MP4, MP3 |
| AI chat on the audio | Yes | Otter Chat (paid) | Notta Chat | No | No | No |
| Languages | 36+ | English-only (paid: 3) | 58 | 49 | 40+ | 22 |
Where each one fits:
- vs Otter.ai: Otter built its product around live meeting capture and English-language calls; uploaded audio files convert at the back of the queue and Otter Chat is gated behind the Pro plan. The audio upload service here treats the uploaded file as a first-class citizen and ships AI chat on the free tier in 36+ languages.
- vs Notta: Notta accepts a similar range of formats and lists 58 languages, but free uploads are capped at 5 minutes per file with a 120-minute monthly ceiling. The 300-minute free allowance here covers a longer podcast or two lecture recordings before you hit the limit.
- vs Sonix: Sonix is a pay-as-you-go transcription engine at $10/hour without a recurring free tier - you get 30 minutes once. Sonix has no AI chat and no built-in playback link; the upload service here returns chat, summary, and a hosted link from the same upload.
- vs Trint: Trint targets newsroom workflows with EDL export and verbatim mode, but there is no free tier and pricing starts at $80/month. For journalists who upload occasional interview audio rather than running a desk, the per-minute economics here are noticeably lower.
- vs Descript: Descript turns uploaded audio into an editable transcript you can cut to splice the waveform - powerful, but the learning curve is steep. The upload-and-process flow here is closer to “drop file, read transcript” with editing kept optional.
Audio File Upload Processing Times by Format
Processing time depends on the codec, the duration, and whether the file is mono or stereo. Approximate numbers for a one-hour recording on the standard processing queue:
| Format | Typical bitrate | Upload time (50 Mbps) | Transcription wall time |
|---|---|---|---|
| MP3 | 128-320 kbps | 5-15 seconds | 45-70 seconds |
| WAV (PCM 16-bit) | ~1411 kbps | 60-90 seconds | 45-70 seconds |
| M4A | 96-256 kbps | 5-15 seconds | 45-70 seconds |
| AAC | 96-256 kbps | 5-15 seconds | 45-70 seconds |
| OGG (Opus) | 64-128 kbps | 3-10 seconds | 45-70 seconds |
| FLAC | ~900 kbps (lossless) | 40-60 seconds | 45-70 seconds |
A 2GB WAV upload (the ceiling) takes a few minutes on a typical home connection - the transcription itself runs in parallel as bytes arrive, so the transcript is usually ready within a minute of the last byte landing.
File format decision matrix
The processing-time table above tells you how long each format takes to upload and transcribe. The matrix below answers a different question: which format should you use in the first place? Format choice depends on what you recorded with and what you plan to do with the file afterwards.
| Format | Best for | Compression | Max recommended length | Notes |
|---|---|---|---|---|
| MP3 (320 kbps) | General audio, podcasts | Lossy, high quality | Up to 4 hours | Universally supported |
| WAV | Professional audio, masters | Uncompressed | 1-2 hours | Large files, best quality |
| M4A, AAC | iPhone voice memos, modern apps | Lossy, efficient | 4+ hours | Default on Apple devices |
| FLAC | Archival, audiophile | Lossless | 4+ hours | Smaller than WAV, same quality |
| OGG, Opus | Streaming, voice chat | Lossy, very efficient | Variable | Common on web platforms |
| WebM audio | Web extracted audio | Lossy | 2-3 hours | From video files |
| 3GP | Older mobile recordings | Lossy | 1 hour | Convert before upload for best results |
Rule of thumb: if the file came off a phone, you have M4A. If it came off a podcast DAW, you probably have WAV or MP3. If it came out of a meeting platform’s cloud recording, you likely have M4A (Zoom) or extracted audio from MP4 (Meet, Teams). All of these go straight in. The transcription pipeline normalizes everything to a 16 kHz mono PCM internal representation before passing it to the speech model, so the source format does not change the resulting transcript accuracy (per the April 2026 WER retest).
After the upload, you can pipe the result into the transcription tool for editing, or hand the output to the AI video summarizer if your audio is the soundtrack of a recorded session.
Who Uses an Audio File Upload Service
Podcasters processing recordings. A finished podcast episode lands on a hard drive as a stereo WAV or MP3. Drop it into the upload service to get the transcript for show notes, the summary for the episode description, and a hosted preview link before the file ever reaches Apple Podcasts or Spotify.
Journalists uploading interview audio. Reporters carrying a recorder out of a press briefing can upload the M4A straight from the device and pull quotes from a searchable transcript while the audio is still warm. Speaker labels and timestamps mean a 90-minute interview becomes scannable in a few minutes.
Students uploading lecture recordings. Phones, dictaphones, and Zoom recordings produce M4A or MP3 files. Uploading the audio file produces a transcript a student can search (“when did the lecturer mention enthalpy?”), highlight, and paste into study notes.
Transcriptionists feeding files into a pipeline. Freelance transcribers and agencies use the upload MP3 online endpoint as a pre-pass: the AI draft transcript arrives in under a minute, and the human transcriber corrects rather than types from scratch. JSON output with word-level timestamps slots into existing editors.
Accessibility teams generating captions from audio-only sources. Public radio archives, oral histories, and call-centre recordings often exist only as audio. The upload service generates SRT and VTT files from those audio-only sources so they can be paired with a static waveform or published as a text alternative under WCAG 1.2.1.
The audio file upload service also handles voice memos from clinicians, demo tracks from musicians shopping for a label, and training audio that compliance teams need a paper trail. ## FAQ
How do I upload an audio file?
Drag the file onto the drop zone, click the drop zone to open a file picker, or paste audio from the clipboard. The audio file upload service accepts MP3, WAV, M4A, AAC, OGG, and FLAC. Files start transcribing the moment the first chunk arrives - you do not need to wait for the upload to finish before processing begins.
Is the upload audio file service free?
The first 300 minutes per month are free. Free accounts upload files up to 100MB each; paid plans extend that to 2GB. No card is required for the free tier.
What audio file formats does the upload service support?
MP3 at any bitrate, WAV at 16-bit or 24-bit PCM, M4A (AAC in an MP4 container), raw AAC, OGG (Vorbis or Opus), and FLAC for lossless audio. If your file is in an unusual format, the service will refuse the upload rather than silently re-encoding it.
How do I upload an MP3 online without signup?
Open the page, drop your MP3 into the drop zone, and the file uploads and transcribes anonymously. You only need an account if you want to keep the file, share it with a permanent link, or process more than the per-session limit.
How big can an uploaded audio file be?
100MB on the free tier, 2GB on paid plans. A 2GB ceiling fits roughly 30 hours of standard MP3, three hours of 24-bit WAV, or eight hours of FLAC.
How long does processing take after the upload finishes?
About one minute for a one-hour audio file. The transcription runs in parallel with the upload, so the wall-clock time from clicking the drop zone to reading the transcript is usually under two minutes for a typical lecture or podcast.
Are uploaded audio files private?
Yes. Files are private by default. AES-256 encryption applies at rest and in transit, files run through malware scanning on arrival, and you can add password protection or unlisted/private visibility per file.
Can I batch upload multiple audio files at once?
Yes. Paid plans accept up to 50 audio files in a single batch and process them in parallel. The dashboard shows a progress row per file so you can see which transcripts are ready first.
