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2. Zamzar - Wikipedia

   en.wikipedia.org/wiki/Zamzar

   Zamzar is currently free to use, but there is a limit of two conversions per hour for files up to 100MB. Users can pay a monthly subscription in order to access preferential features, such as unlimited file conversions, online file management, shorter response and queuing times and other benefits.

3. Comparison of video converters - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_video_converters

   Video converter Developer License Supported platform Windows Mac OS X Linux Any Video Converter: Anvsoft Inc. Freeware: Yes: Yes: No Avidemux: Mean, Gruntster, Fahr: GPL-2.0-or-later: Yes: Yes: Yes Dr. DivX: DivX, Inc. Adware bundled 15-day trial: Yes: Yes: No DVDVideoSoft Free Studio: DVDVideoSoft: Shareware (requires paid membership for basic ...

4. MPEG-4 Part 17 - Wikipedia

   en.wikipedia.org/wiki/MPEG-4_Part_17

   MPEG-4 Part 17, or MPEG-4 Timed Text (MP4TT), or MPEG-4 Streaming text format is the text-based subtitle format for MPEG-4, published as ISO/IEC 14496-17 in 2006. [1] It was developed in response to the need for a generic method for coding of text as one of the multimedia components within audiovisual presentations.

5. List of video editing software - Wikipedia

   en.wikipedia.org/wiki/List_of_video_editing_software

   The following is a list of video editing software.. The criterion for inclusion in this list is the ability to perform non-linear video editing.Most modern transcoding software supports transcoding a portion of a video clip, which would count as cropping and trimming.

6. Text-to-video model - Wikipedia

   en.wikipedia.org/wiki/Text-to-video_model

   A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .

7. Otter.ai - Wikipedia

   en.wikipedia.org/wiki/Otter.ai

   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]