{"id":343101,"date":"2017-06-08T18:00:15","date_gmt":"2017-06-08T10:00:15","guid":{"rendered":"http:\/\/techcrunch.com\/?p=1500742"},"modified":"2017-06-08T18:00:15","modified_gmt":"2017-06-08T10:00:15","slug":"london-based-trint-raises-3-1m-for-ai-driven-transcription-service","status":"publish","type":"post","link":"https:\/\/people.utm.my\/asmawisham\/london-based-trint-raises-3-1m-for-ai-driven-transcription-service\/","title":{"rendered":"London-based Trint raises $3.1M for AI-driven transcription service"},"content":{"rendered":"

<\/p>\n

London-based Trint<\/a>, a startup co-founded by Emmy-winning journalist Jeff Kofman, is tackling a paint-point I know all too well: the time it takes to transcribe an interview (or any audio) accurately.<\/p>\n

To solve this particular problem the company is employing machine learning and speech-to-text technology to automate transcribing, but \u2014 perhaps crucially \u2014 outputting the result in a user interface that recognises that automation typically only gets the job partly done.<\/p>\n

Specifically, Trint integrates a web-based audio\/video player and text editor, with the outputted automated transcription synced to the audio player\u2019s playhead. It\u2019s a deceptively simple idea but one that makes a ton of difference when checking (and editing) a transcription for accuracy.<\/p>\n

\u201cWe glue the text output of automated speech-to-text to the original source audio. And that means that you can follow it like karaoke,\u201d explains Kofman via an audio file transcribed by Trint. \u201cAnd because it\u2019s an editor, if you have a word like Muammar Gaddafi, a name like that that\u2019s not correctly transcribed, then you can fix it. And in seconds you\u2019ve got the moment you need and you know you\u2019ve got transcripts you can trust\u201d.<\/p>\n

\"\"<\/p>\n

Of course, the outputted text means that otherwise hard to search content becomes searchable, taking Trint\u2019s application way beyond journalism or academic interviews.<\/p>\n

\u201cIn the digital age, more than 80 percent of the content that we look at is recorded content whether it\u2019s video or audio and none of it\u2019s searchable,\u201d Kofman says.<\/p>\n

\u201cThere\u2019s this concept of dark data. If you look at a video on YouTube or on a news Web site or at a corporate Web site and you want to find a specific reference you have to listen to it. It\u2019s that simple. There\u2019s no shortcut to finding that specific part of content\u201d.<\/p>\n

Trint originally launched in September 2016 with funding from the Knight Enterprise Fund and the Google Digital News Initiative, as well as support from BBC Worldwide Labs and Cisco. It claims to have close to 7,000 regular users in just nine months, which hasn\u2019t gone unnoticed by investors.<\/p>\n

The U.K. company has closed $3.1 million in \u201cpre-Series A funding,\u201d in a round led by Horizons Labs, the Hong Kong-based seed fund operated by the managers of Horizons Ventures.<\/p>\n

Kofman says the new capital will be used to support the development of technology to transform Trint into an \u201cend-to-end publishing platform\u201d. The startup also plans to roll out a mobile app, and a series of enterprise solutions targeting international media organisations, universities, businesses, and government agencies as potential Trint customers. A new feature that will make online videos and podcasts \u201csearchable, shareable, and accessible\u201d is promised too.<\/p>\n","protected":false},"excerpt":{"rendered":"

\"\" London-based Trint, a startup co-founded by Emmy-winning journalist Jeff Kofman, is tackling a paint-point I know all too well: the time it takes to transcribe an interview (or any audio) accurately. Read More<\/a><\/p>\n

\n<\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a>\n<\/div>\n

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