SpeakerSplit.io

This tool takes audio or video files and splits them into separate speaker tracks while transcribing everything

16 views ↑ 0.3% MoM · 24.0K users/Feb 2026

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This tool takes audio or video files and splits them into separate speaker tracks while transcribing everything. The pitch centers on automated speaker diarization — upload a podcast or meeting recording, and it'll identify who's talking when, then export individual audio files for each voice. Works with MP4, WebM, MOV, and AVI video formats by automatically pulling the audio out first.

The numbers look solid at first glance. Over 50,000 files processed with a claimed 99% success rate across 20-plus languages. The system auto-detects languages, so you don't need to specify upfront. That's useful for multilingual content, though how well it handles mixed-language conversations isn't clear from the facts.

The standout feature is those time-synced speaker tracks. You get individual WAV or MP3 files for each person, aligned with the transcript timestamps. That's particularly helpful for remixing podcasts or isolating specific voices in post-production. The built-in transcript editor lets you fix recognition errors and adjust speaker labels manually, which you'll probably need — AI transcription still isn't perfect, especially with accents or technical jargon.

Export options cover the basics. Transcripts come out as TXT, SRT, DOCX, or PDF. The SRT format matters for anyone doing subtitles or captions. Audio exports in two formats only, no FLAC or other lossless options if audio quality matters for your workflow.

What's missing from the facts: any mention of file size limits, processing speed, or how long files sit in their system. No information about API access for developers wanting to automate workflows. Can't tell if there's team collaboration features or shared workspace functionality. The 10,000-plus hours processed sounds impressive until you realize that's cumulative across all users, not a per-user capacity indicator.

The language support hits 20-plus, but which languages exactly? That matters. Spanish and French support differs from Mandarin or Arabic in terms of accuracy. No specifics provided.

There's a free trial available. That's it for pricing details. Can't say what the trial comes with, how long it lasts, or what paid plans cost. Test it yourself before committing.

Best fit for podcasters doing interview shows who need clean speaker separation, or content teams transcribing meetings and workshops. Less clear if it handles poor audio quality, heavy background noise, or overlapping speech well. The 99% success rate probably assumes decent recording conditions.

Does SpeakerSplit.io have a free plan or trial?

Can SpeakerSplit.io separate speakers in video files?

What languages does SpeakerSplit.io support for transcription?

How accurate is SpeakerSplit.io at identifying different speakers?

What can I export from SpeakerSplit.io after processing?

Does SpeakerSplit.io work for podcast editing?

What are the limitations of SpeakerSplit.io?

Estimated website traffic data for SpeakerSplit.io

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24.0K

Monthly Visits

~23.3K avg/3mo