AI Audio Moderation Services

Don't give bad actors a voice. Transcribe and moderate audio in real time.

AI Audio Moderation Services :
Protect your brand by not giving bad actors a voice.

Policies - Custom models also availale

Human exploitation

Track the complex systems that are using your platform to harm vulnerable people

Violence & Threat

Flag content that calls for violence or threatens to inflict pain, injury, or hostility based on gender, race, or nationality

Copyrighted audio files

Identify copyrighted songs, podcasts using Checkstep’s hashing technology.

Adult content

Remove nudity and sexual content that violate your policies.

Profanity

Identify and filter out profanity in a variety of languages, including slang .

Suicide/Self-harm

Quickly recognize signs of suicidality and take swift steps to prevent self-harm.

Graphic

Detect speech that visually descriptive and unpleasant vivid imagery.

Bullying/Harrassment

Detect harassment and abusive content in real time.

Child Safety

Identify online intimidation, threats, or abusive behavior or content in real time.

Disinformation

Use Checkstep’s moderation AI to combat disinformation and misinformation.

Insults

Detect speech that includes demeaning, belittling, mocking or humiliating language.

Hate speech

Address hate speech in over 100 languages, including slang.

Easy to integrate into any User Generated audio

Podcasts

Interviews

Radio shows

Conversations

Broadcasts

Configure the model to fit the needs of your platform.

You can select from a list of standard models depending on your content policies. Custom models also available. Mention PII in videos?

See all models

Confidence scores based on policy priorities

Automatically ban content with high confidence scores, push edge cases through to human moderation, and relax knowing safe content is getting published on your platform

How it works

Input media

Input media or audio files.

Speech to text

The speech-to-text model transcribes raw audio into human readable text and breaks the text into shorter segments.

Text moderation

Text moderation model then processes the full transcription and detects inappropriate content across multiple classes.

Audio Context and Audio Analysis

Analysis is further enhanced by data points and crucial context from human experts, including hashtags, keywords, phrases, slogans, and slurs.

Advanced machine learning models detect and flag harmful language, claims, narratives and policy violations within audio.