Fictions-ai

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autocaption

fictions-ai

Total Score

47

The autocaption model is a Cog implementation of a tool that automatically adds captions to videos. It is created by the team at Fictions.ai. This model can be useful for automatically generating subtitles for videos, which can improve accessibility and make content more engaging for viewers who may not have the audio on or who prefer reading captions. The autocaption model has some similarities to other video transcription and captioning models like whisperx-video-transcribe and text-to-speech models like styletts2, but it is focused specifically on the task of adding captions to existing video files. Model inputs and outputs The autocaption model takes a video file as its main input and generates a video file with captions overlaid on top. It also has several customization options, including the ability to adjust the font, color, size, and position of the captions. Inputs video_file_input**: The video file to be captioned transcript_file_input**: An optional transcript file that can be used instead of the model's own speech recognition font**: The font to use for the captions color**: The color of the captions kerning**: The spacing between the letters in the captions opacity**: The opacity of the captions background MaxChars**: The maximum number of characters to display per caption fontsize**: The size of the captions font translate**: Whether to translate the captions to English stroke_color**: The color of the captions' stroke stroke_width**: The width of the captions' stroke right_to_left**: Whether to display the captions right-to-left subs_position**: The position of the captions on the video highlight_color**: The color to use for highlighting the captions output_video**: Whether to output the video with captions output_transcript**: Whether to output a transcript file Outputs The input video file with captions overlaid An optional transcript file Capabilities The autocaption model can automatically add captions to a wide variety of video formats, including MP4, AVI, and MOV files. It uses state-of-the-art speech recognition technology to accurately transcribe the audio, and then overlays the captions on the video in a customizable way. What can I use it for? The autocaption model can be useful for a variety of applications, such as: Improving the accessibility of video content for viewers who are deaf or hard of hearing Enhancing the engagement and comprehension of video content for viewers who prefer reading captions Generating captions for educational or training videos Localizing video content by translating the captions to different languages Things to try Some interesting things to try with the autocaption model include: Experimenting with different font and color settings to find the perfect look and feel for your video captions Trying out the translation feature to see how well it works for your specific video content Exploring the right-to-left and highlight_color options to see how they can enhance the readability and visual appeal of your captions Combining the autocaption model with other video editing tools or AI models, such as gfpgan or uform-gen, to create more advanced video content.

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Updated 5/17/2024