EXMIONAMAMI
AI SPORT ↗
AMAMIAI Media Asset Management InfrastructureIntelligence layerSemantic Media Intelligence
Unified audiovisual intelligence workspace

From media archive to source-linked knowledge

AMAMI brings processing, multilingual search, review, and source verification into one workspace. Search speech, on-screen text, and indexed visual evidence, then open the matching moment at its original timecode.

Explore capabilities
● This real-source demonstration is captioned and ready to explore◎ Results link to source media and timecode
LANGUAGE-MATCHED SOURCE● TRANSCRIBED
English · SPEECH + OCR + ENTITIES + OBJECTS

WIKITONGUES_Omar_English_Patois.mp4

Play the complete source in the selected language, then open its synchronized analysis and transcript.

3Real source videos
73Timecoded transcript cues
3OCR fragments
Directsource + timecode navigation
Multilingual by design

Three public demonstration languages

English, Arabic, and Urdu are available across this public interface and its media workflows.

Search · Ask AMAMI · Review · Source navigation
Englishالعربيةاردو
Interactive demonstration

Three real source videos, one per public language

English, Arabic, and Urdu each have a rights-cleared real source, caption track, transcript, and synchronized analysis. Every result remains connected to the original frame and timecode.

EN · FULL VIDEO · 3:56.06
English / REAL RECORDED INTERVIEW

WIKITONGUES_Omar_English_Patois.mp4

A real interview about Jamaican Patois as family heritage, switching between Patois and English, and communicating through a shared dialect.

30 speech excerpts0 OCR5 entities5 objects
Wikitongues · CC BY 3.0 · optimized derivative ↗
UR · FULL VIDEO · 1:57.94
اردو / REAL RECORDED INTERVIEW

WIKITONGUES_Seema_Urdu.mp4

Seema discusses growing up between Pakistan and the United States, family ties, identity, and Urdu as a connection to childhood and home.

32 speech excerpts0 OCR5 entities5 objects
Wikitongues · CC BY 3.0 · optimized derivative ↗
Capabilities

What AMAMI can do

A workspace for finding, verifying, and reusing media materials.

01

Multilingual archive search

Finds exact and semantic matches in speech and on-screen text across supported languages.

02

Source-grounded Ask AMAMI

Returns concise answers with supporting excerpts, source files, and actionable timecodes.

03

Material activity and review

Tracks processing stages, warnings, and operator decisions in one review flow.

04

Synchronized source evidence

Aligns transcript, OCR, entities, objects, and scenes with the source player.

05

Entities and relationships

Connects people, organizations, places, and their source-linked mentions.

06

Collections with context

Saves useful excerpts while preserving their file and exact timecode.

How it works

From archive to evidence in three steps

01

Process and review media

Follow processing, warnings, and operator decisions in Activity and Material review.

02

Search and ask in context

Find speech, on-screen text, entities, and indexed visual evidence, or ask AMAMI a question.

03

Open evidence and organize it

Jump to the matching source timecode, verify the context, and save useful excerpts to collections.

Built for

One archive, multiple workflows

AMAMI accelerates discovery and verification wherever video is a critical source of knowledge.

01

Newsrooms and broadcasters

Find soundbites, people, and events across years of broadcast footage.

02

Enterprise media libraries

One search layer for interviews, conferences, learning content, and internal video.

03

Production and research

Build verifiable collections and return to the source in one step.

Data control

Runs where your archive lives

AMAMI can run on-premises or in a private cloud. Source media stays under your control. Search results and AMAMI answers are designed to retain links to supporting evidence.

On-premisesPrivate cloudRole-based accessVerifiable sources
Interactive media archive

Ready to try AMAMI?

Open the demo archive and follow the built-in step-by-step tutorial.