AI‑Powered Content Moderation

Backed by

Four kinds of content.
One filter.

Use cases
01Text

Insults, hate speech, profanity and personal data in comments, chats and reviews.

02Image

Nudity, weapons, alcohol and smoking, boxed where they are. Flagged regions can be blurred automatically.

03Video

Frame by frame, with the box and the timestamp of every finding.

04Audio

Speech is transcribed and checked. You get the exact seconds that break policy.

comment_48213.txt

insult · 0.96 · redactedpii · 0.99 · redacted

Live Stream Moderation
Picture and sound, as it airs.

Both the video and the audio of a live broadcast are moderated in real time. Harmful frames are blurred and harmful words are muted before they reach your viewers.

LIVE00:00:00
Photo: Sven Kucinic / Unsplash
On airIncoming
Video

Smoking, alcohol, weapons and nudity are found frame by frame and blurred on the stream itself.

Audio

Speech is checked as it comes in. Profanity, insults and hate speech are muted before broadcast.

Not a ChatGPT wrapper.
Our own models.

Detectivision runs on NLP, vision and audio models that our R&D team researches, trains with machine learning and develops in-house.

LanguageNLP

Text models that detect insults, hate speech, spam and personal data across languages.

VisionCV

Image and video models that locate nudity, violence and weapons down to the region.

AudioASR

Speech models that transcribe and classify audio with second-level timestamps.

Real-timeRT

A streaming pipeline that runs all three on live broadcasts as they air.

Contact Us

Tell us what you need to moderate. We will get back to you with a demo and details.

support@detectivision.ai

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