WIKITONGUES_Omar_English_Patois.mp4
Play the complete source in the selected language, then open its synchronized analysis and transcript.
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.
Play the complete source in the selected language, then open its synchronized analysis and transcript.
English, Arabic, and Urdu are available across this public interface and its media workflows.
Search · Ask AMAMI · Review · Source navigationEnglish, 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.
A real interview about Jamaican Patois as family heritage, switching between Patois and English, and communicating through a shared dialect.
Wikitongues · CC BY 3.0 · optimized derivative ↗David Samer Arnouk describes his background, education, work, hobbies, and Arabic-speaking family in a real recorded interview.
Wikitongues and Tushar Rakheja · CC BY-SA 4.0 · optimized derivative ↗Seema discusses growing up between Pakistan and the United States, family ties, identity, and Urdu as a connection to childhood and home.
Wikitongues · CC BY 3.0 · optimized derivative ↗A workspace for finding, verifying, and reusing media materials.
Finds exact and semantic matches in speech and on-screen text across supported languages.
Returns concise answers with supporting excerpts, source files, and actionable timecodes.
Tracks processing stages, warnings, and operator decisions in one review flow.
Aligns transcript, OCR, entities, objects, and scenes with the source player.
Connects people, organizations, places, and their source-linked mentions.
Saves useful excerpts while preserving their file and exact timecode.
Follow processing, warnings, and operator decisions in Activity and Material review.
Find speech, on-screen text, entities, and indexed visual evidence, or ask AMAMI a question.
Jump to the matching source timecode, verify the context, and save useful excerpts to collections.
AMAMI accelerates discovery and verification wherever video is a critical source of knowledge.
Find soundbites, people, and events across years of broadcast footage.
One search layer for interviews, conferences, learning content, and internal video.
Build verifiable collections and return to the source in one step.
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.
Open the demo archive and follow the built-in step-by-step tutorial.