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  2. 10 Best Remote Transcription Jobs That Pay Well - AOL

    www.aol.com/10-best-remote-transcription-jobs...

    Yes, audio transcription can be a good side hustle as there are many opportunities for part-time transcription gigs such as the following: Medical transcriptionist Foreign language transcriber

  3. The Best Non-Scammy 30 Work-From-Home Jobs - AOL

    www.aol.com/lifestyle/best-non-scammy-30-home...

    The Job: Telemedicine Therapist. What It Pays: According to ZipRecruiter, telemedicine therapists make a nationwide average of $65,553 annually. Perfect For: Therapists with unique education and ...

  4. Smithsonian Transcription Center - Wikipedia

    en.wikipedia.org/wiki/Smithsonian_Transcription...

    On 12 August 2014 the Transcription Center website was launched to the public. [2] As well as transcribing, volunteers review the submitted work before it is sent for approval. [5] The final transcription is then checked by Smithsonian staff and once accepted, both the original images of the work and the transcription are kept on line. [6]

  5. Otter.ai - Wikipedia

    en.wikipedia.org/wiki/Otter.ai

    Otter.ai, Inc. Otter.ai, Inc. is an American transcription software company based in Mountain View, California. The company develops speech to text transcription applications using artificial intelligence and machine learning. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech. [1]

  6. Rev (company) - Wikipedia

    en.wikipedia.org/wiki/Rev_(company)

    rev.com. Rev is an American speech-to-text company that provides closed captioning, subtitles, and transcription services. The company, based in San Francisco and Austin, was founded in 2010. The company employs about 89,550 independent contract workers who transcribe audio for a low per-minute rate. The service is used by major companies ...

  7. Whisper (speech recognition system) - Wikipedia

    en.wikipedia.org/wiki/Whisper_(speech...

    MIT License. Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2] It is capable of transcribing speech in English and several other languages, [3] and is also capable of translating several non-English languages into English.

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