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Seply Speaker Separation

Seply Speaker Separation is an AI-powered tool that isolates individual voices from mixed audio and video recordings into separate, time-aligned tracks for editing.

AudioGenerates independent, time-aligned…Supports both audio and video file…Processes video files by extracting the…Automated Speaker Separation
Seply Speaker Separation product interface screenshot
Listed on AIToolly
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Seply Speaker Separation: AI product overview

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What Is Seply Speaker Separation? Product Overview

What the product does and how it is positioned

Seply Speaker Separation provides a streamlined workflow for isolating voices from podcasts, interviews, and meetings. By transforming a single mixed recording into independent audio tracks, it enables users to edit, mute, or enhance each speaker individually.

The platform supports a wide range of audio and video formats, ensuring compatibility with various production environments. Users can choose between automatic speaker detection or manual input to ensure accurate separation for their specific content.

What Can You Use Seply Speaker Separation For?

Source-supported ways to use the product

Podcast and Interview Editing

Enables producers to isolate hosts and guests to adjust volume levels, remove errors, and edit each voice track independently.

Video and Content Production

Allows creators to prepare independent dialogue tracks from video files for precise placement back into an editing timeline.

How to Use Seply Speaker Separation

The documented workflow, where available

  1. 1

    Upload Recording

    Users upload their mixed audio or video file, such as a podcast or meeting recording, to the platform.

  2. 2

    AI Separation

    The AI identifies individual voices and generates time-aligned tracks for each detected speaker.

  3. 3

    Preview and Download

    Users listen to the isolated tracks and download them as individual WAV files for their editing workflow.

Separation Versus Diarization

While speaker diarization identifies who spoke at specific timestamps, Seply focuses on speaker separation. This process goes beyond labeling by creating distinct, usable audio files for every voice present in the recording.

  • Diarization provides a transcript-style log of speaker activity.
  • Separation provides isolated audio tracks for independent editing.
  • Separated tracks allow for muting or enhancing specific speakers.

Seply Speaker Separation Pricing

Human-maintained commercial information

subscriptionfreemium
  • USD 12/month

Pricing can change. Confirm the current plan and billing terms on the official site before purchasing.

What to Test Before Choosing Seply Speaker Separation

Checks to run with your own material and workflow

  • Verify that the input file format is supported and under the 1 GB upload limit.
  • Confirm the number of speakers in the recording to decide between automatic detection or manual input.

Seply Speaker Separation Sources and Last Checked

What was checked and when

Official source
https://seply.org/
Last checked
Category
Audio

Seply Speaker Separation Frequently Asked Questions

Answers based on the source-checked product record

What is the difference between speaker separation and diarization?

Speaker diarization labels who spoke at specific times, whereas speaker separation creates independent audio tracks for each voice, allowing for individual editing and processing.

Can I upload video files directly to the platform?

Yes, Seply supports various video formats including MP4, AVI, MOV, MKV, and WebM, extracting the original audio track for processing without re-encoding.

How long are my files and results stored?

Uploaded recordings and their corresponding separated tracks are kept private and are retained on the platform for 30 days.

Does the tool support overlapping speech?

Seply is designed to handle real conversations, including podcasts, interviews, and meetings, by organizing mixed signals into editor-ready tracks.

What happens if I need to adjust the speaker detection?

Users can choose to let the AI detect speakers automatically or manually enter the expected number of speakers to refine the separation process.

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