Audio Splitter
Free online audio splitter that splits MP3, WAV, M4A, OGG and other audio files into multiple segments by timestamp or equal parts. All processing runs in your browser — no upload required.
Audio Splitter
Split an audio file into segments by timestamp or equal parts. Click the waveform to place split points while listening. All processing happens in your browser.
Drop an audio file here or click to browse
MP3, WAV, M4A, AAC, OGG, OPUS, WebM, FLAC
Load a file to begin.
To split an audio file into parts, load it into this free browser-based audio splitter, choose either By Time (set your own split points) or Equal Parts (divide into a fixed number of segments), then click Split Audio and download each piece. It supports MP3, WAV, M4A, OGG, FLAC, AAC, OPUS, and WEBM, and every step runs locally inside your browser, so no files are ever uploaded to a server.
What Is Audio Splitting?
Audio splitting is the process of dividing a single audio file into two or more smaller files, each containing a separate portion of the original recording. The pieces play back exactly as they sounded in the source, just broken into shorter, self-contained segments. The operation is sometimes called audio segmentation or audio chunking, but the goal is always the same: turn one long file into several manageable parts.
People utilise an audio splitter in many everyday situations. Podcasters break a long raw recording into individual segments before editing each one separately in a digital audio workstation. Audiobook listeners split a single multi-hour MP3 into chapters so they can resume in the right place and skip around easily. Musicians divide a continuous live set or DJ mix into individual tracks. Transcribers cut a two-hour interview into shorter chunks because many transcription tools and AI services enforce a maximum upload size or duration. Teachers split a recorded lecture into topic-based clips so students can revise one section at a time.
This tool performs the entire split inside your browser using the Web Audio API, the audio engine built into every modern browser. The source file is decoded locally, sliced in memory at the points you specify, and each segment is encoded to MP3 using a JavaScript encoder running in the same tab. Nothing is transmitted to any server, so your recordings stay completely private no matter what they contain. You can find this utility alongside other tools in the Audio Utility Tools category.
How to Use This Tool
- Upload your audio file. Drag and drop your file onto the drop zone, or click it to open the file picker. Supported formats include MP3, WAV, M4A, OGG, FLAC, AAC, OPUS, and WEBM. The tool reads the file directly from your device and shows the total duration once it has decoded.
- Choose a split mode. Select either By Time or Equal Parts. Use By Time when you want to control exactly where each cut falls, for example splitting an audiobook at known chapter timestamps. Use Equal Parts when you simply want the file divided into a fixed number of evenly sized segments.
- Configure your split points or number of parts. In By Time mode, enter each timestamp where a new segment should begin, in minutes and seconds. In Equal Parts mode, type how many parts you need, such as 2, 3, 5, or 10, and the tool calculates the cut points automatically so every segment is the same length.
- Click Split Audio. Press the Split Audio button to begin. The tool slices the decoded audio at each split point and encodes every resulting segment to MP3 one after another, showing live progress as it works through them.
- Wait for processing. Splitting is fast for short files and takes longer for lengthy recordings, because each segment is encoded sequentially inside the browser. No internet connection is needed once the page has loaded, so the work continues even if your connection drops.
- Download individual segments. Each finished part appears in a list with its own Download button, so you can save just the pieces you need. Segments are named in order, such as
part-1.mp3,part-2.mp3, and so on. - Use Download All as ZIP. If you want every segment at once, click Download All to receive a single ZIP archive containing all the parts. This is the quickest option when you have split a file into many chunks and do not want to save each one separately.
Why Use This Tool
Complete Privacy: Your Files Never Leave Your Device
Most online audio splitters work by uploading your file to a remote server, processing it there, and sending the parts back. That means your interviews, lectures, or personal recordings travel across the internet and sit temporarily on someone else's hardware. This tool works differently. The AudioContext.decodeAudioData() method built into your browser decodes the file locally, and every segment is sliced and encoded in the same browser tab. There is nothing to log, nothing to store, and no third party involved at any point during the split.
Two Split Modes: By Time and Equal Parts
Different jobs need different approaches. When you know exactly where the breaks should fall, such as audiobook chapter timestamps or the boundaries between podcast segments, By Time mode lets you place each cut precisely. When you just want a long file broken into manageable pieces of the same length, Equal Parts mode divides it into the number of segments you choose without any manual timing. Having both modes in one tool means you can maximise efficiency without switching between separate utilities depending on the task.
No Installation, No Account, No File Size Limit
There is nothing to install and no account to create. The tool runs directly in your browser tab and starts immediately. There is no enforced file size cap, unlike many transcription and upload services that reject anything over a fixed megabyte limit. The practical ceiling is set by how much memory your browser can allocate, which on a modern laptop or desktop is typically several gigabytes, so you can comfortably split recordings that run well over an hour.
Works Offline After the Page Loads
Once the page has fully loaded, no further internet connection is required to split your audio. All decoding, slicing, and encoding runs inside the browser tab using locally loaded JavaScript. This makes the tool reliable on slow or intermittent connections and useful on mobile data, where you do not want a large file consuming your allowance through an upload. Because the heavy work happens locally, the split continues even if your connection drops partway through a session.
Real-World Use Cases
A Podcast Producer Preparing Raw Segments for Editing
A freelance podcast producer records a 90-minute session that contains an intro, a 45-minute interview, and a closing segment all in one continuous WAV file. Before editing, she needs each block as a separate file so she can assign them to different tracks in her digital audio workstation and hand the interview portion to a junior editor. Using By Time mode, she enters the two timestamps where the interview begins and ends, splits the file into three parts, and downloads all of them as a ZIP. The whole task takes under a minute, and because nothing is uploaded, the unreleased interview audio never leaves her machine. She then drops the three MP3 segments straight into her project and begins editing.
An Audiobook Listener Splitting a Single File into Chapters
A commuter buys a 12-hour audiobook that arrives as one enormous MP3 with no chapter markers, making it impossible to resume at the right spot after his phone loses the position. He looks up the chapter start times listed in the book's contents and, using By Time mode, enters each timestamp to create one segment per chapter. He downloads all of them as a ZIP, copies the parts onto his phone, and now has clearly numbered files he can navigate by chapter. Splitting the audio losslessly into parts means he keeps the original quality while gaining the chapter structure the file was missing, and the long recording is processed entirely in his browser without any upload.
A Transcriber Working Around an Upload Limit
A part-time transcriber receives a two-hour recorded board meeting that she needs to run through an AI transcription service, but the service rejects any file longer than 25 minutes. Rather than re-recording or paying for a higher tier, she opens this tool, switches to Equal Parts mode, and splits the file into 5 segments of roughly 24 minutes each. She uploads the parts one at a time, well within the limit, and stitches the resulting transcripts together afterwards. The split takes seconds, costs nothing, and keeps the confidential meeting audio off any third-party server until she chooses which transcription tool to use.
A DJ Dividing a Recorded Live Set into Tracks
A club DJ records a continuous two-hour live set as a single FLAC file and wants to release it as individual tracks listeners can save and replay. He notes the timestamp where each track transitions into the next, switches to By Time mode, and enters all the boundaries to produce 18 separate segments. He downloads the lot as a ZIP, names each one after the track, and uploads them to his music page. Because the tool accepts FLAC directly and processes everything locally, he splits the high-quality master without first converting it or trusting an upload service with an unreleased recording.
Common Mistakes and Troubleshooting
Entering Split Points Out of Order
A common error in By Time mode is typing timestamps in the wrong sequence, such as listing 12:00 before 8:00. This produces segments of unexpected lengths or empty parts. Always enter your split points in ascending order from the start of the file to the end, and double-check that each timestamp is later than the one before it. Reviewing the list before clicking Split Audio prevents having to redo the whole operation.
Choosing Equal Parts When You Need Precise Cuts
People sometimes pick Equal Parts to split an audiobook or podcast, then find the cuts land in the middle of sentences or chapters. Equal Parts divides purely by duration and ignores the content, so it is only suitable when even sizing is what you actually want. If your segments need to begin at specific moments, switch to By Time mode and enter each timestamp manually so every cut falls exactly where it should.
Expecting Instant Results on a Very Long File
A frequent complaint is that splitting a multi-hour recording seems slow. This happens because each segment is encoded to MP3 sequentially inside the browser, and longer files mean more audio to encode. This is normal, not a fault. Keep the tab open and other browser tabs closed to free up memory, and allow up to thirty seconds for very long recordings. Closing the tab while the encode runs will lose the parts that have not yet finished.
Mistyping Timestamps in the Wrong Units
Some users enter a chapter time such as 1:30 meaning one hour thirty minutes, when the field expects minutes and seconds, producing a cut at one minute thirty seconds instead. Confirm the format the field uses before entering values, and convert hours into minutes where needed, so 1 hour 30 minutes becomes 90:00. Getting the units right the first time avoids segments that are far shorter or longer than intended.
Uploading an Unsupported or Corrupted File
Occasionally a file fails to load because it is in an unusual codec the browser cannot decode, or because the recording is incomplete or corrupted. If your file will not open, try playing it in a media player first to confirm it is intact, then convert it to a common format such as MP3 or WAV. You can use the Audio Joiner and other tools in the Audio Utility Tools collection to repackage problem files before splitting them here.
S. Siddiqui
Founder & Editor-in-Chief, YourToolsBase
How I split a 74-minute recorded supplier call into 6 labelled chapters so my team could act on each section without listening to the whole thing
In January 2026 I had a 74-minute recorded video call with our primary fulfilment partner to renegotiate dispatch SLAs, packaging specs, and returns handling. I recorded it locally as a single MP3 so I could share it with the three people in the business who each needed to act on a different part of the discussion: my operations lead needed the SLA section, the warehouse manager needed the packaging conversation, and I needed the returns terms for a contract draft.
Sending a 74-minute file with a timestamp note is not a real solution. Nobody reliably skips to minute 38 of an audio file on a shared drive. I spent about 20 minutes looking for a way to cut the recording into sections. Every desktop tool I tried either required a paid licence, had a non-obvious export flow, or could not handle the 128 MB file size without converting it first. Two browser-based tools I found uploaded the file to a remote server, which I was not willing to do for a commercially sensitive negotiation recording.
I used the Audio Splitter on YourToolsBase. I loaded the file, scrubbed the waveform to the six natural break points I had noted during the call, set the split markers, and exported. The tool processed everything in-browser using the Web Audio API without touching any external server. The six output files ranged from 7 to 18 minutes each and totalled the same 74 minutes as the original. I labelled them and dropped them into a shared folder. Each team member listened to only the section relevant to them. The operations lead came back with questions within the hour, and the contract draft was finished two days ahead of schedule because I was not waiting on anyone to find time to listen to the full recording.
Frequently Asked Questions
How do I split an audio file into parts?
How do I split an MP3 into multiple files?
Is there a free online audio splitter?
How do I split an audio file into equal parts?
Can I split an audio file without uploading it?
What audio formats can I split?
How do I split a long audio file into chapters?
Is splitting audio in the browser safe and private?
How do I download all the split parts at once?
Why is splitting a large file taking a long time?
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About the Author
S. Siddiqui is the founder and editor-in-chief of YourToolsBase, overseeing all content, tool accuracy, and editorial standards.
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Formulas and data in this tool are based on guidelines from the above sources.