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Enterprise Layer Intelligence
Categories/Knowledge Management/Veritone
Veritone

Veritone

Founded by Ryan Steelberg in 2014

Turn unstructured audio, video, and text into searchable digital assets and workflows

Pricing model

Demo

Rating

★ People love it

Time to value

Requires Expertise

You can use Veritone to transform unstructured video, audio, and text files into structured, searchable data. It processes large media libraries to automatically transcribe speech, track objects, and redact sensitive faces or audio for legal compliance. Organizations can index historical broadcast archives, automate recruitment advertising, and analyze public safety body camera recordings. By organizing massive datasets into usable formats, teams across media, public safety, and human resources can find specific information quickly, manage digital media distribution, and speed up everyday data operations without manual sorting.

What Veritone does

Redact sensitive personal information in public safety videosSearch audio files for spoken keywords and phrasesExport compliance audit logs for video evidence reviewTrack objects and individuals across recorded video footageDistribute recruitment ads across programmatic job boardsTag and organize media assets in a digital content repositoryTranscribes spoken words in audio and video recordingsRedacts faces, license plates, and private audio in video footageIndexes large media libraries to make audio and video searchableMonitors and tracks specific objects across video feedsAutomates recruitment job distribution and candidate pipeline trackingConverts unstructured media files into machine-readable data tokens

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

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Veritone, enterprise AI, aiWARE, video redaction, audio transcription, media asset management, unstructured data, digital evidence, law enforcement tech, automated hiring, broadcast archive, data indexing, content licensing, public safety analytics, object tracking, data refinery