ASR (Automatic Speech Recognition): A technology that converts spoken language into written text by analyzing audio inputs.
TTS: Text to Script: A feature that transforms plain text or ideas into a structured script, typically used as the foundation for creating video content. It simplifies the process of scripting by providing a ready-to-use narrative framework based on user input, making it easier to plan and produce videos.
AI Video Generator: A suite of AI-powered tools that automate video creation by converting text, scripts, and ideas into engaging videos.
Video Maker GPT: An AI tool that assists in generating video content, streamlining the creation process.
Text to Video: A feature that transforms written text into dynamic video presentations.
Script to Video: A tool that converts scripts into videos, facilitating seamless content creation.
Audio to Video: A feature that turns audio recordings into visual content, enhancing engagement.
Video Montage Maker: A tool for creating video montages, compiling various clips into a cohesive presentation.
Auto Subtitle Generator: An AI-driven feature that automatically generates subtitles for videos, improving accessibility.
Step Recorder: A tool that captures step-by-step processes, useful for creating instructional content.
AI Video Editor: An editing tool that utilizes AI to enhance videos with seamless transitions, voiceovers, and scene-based editing.
AI Summary: A feature that provides concise summaries of video content, aiding in quick comprehension.
Footage Recommendations: An AI-driven tool that suggests relevant footage to complement video content.
Scene-Based Editing: An editing approach that focuses on individual scenes, allowing for more precise adjustments.
Add Voiceover: A feature that enables users to incorporate voiceovers into their videos, enhancing narrative depth.
Text-Based Video Editing: An editing method that allows modifications based on the video's transcript, simplifying the editing process.
Background Music: A feature that lets users add background music to their videos, enriching the viewing experience.
Screen Recording: A tool for capturing screen activity, useful for tutorials and demonstrations.
Video Recording: A feature that allows users to record video content directly within the platform.
Meeting Recording: A tool for recording meetings, ensuring important discussions are documented.
Multi-Camera Recording: A feature that supports recording from multiple camera angles simultaneously.
Teleprompter: A tool that displays scripts during recording, aiding presenters in delivering their lines smoothly.
Phone as Webcam: A feature that allows users to utilize their phone's camera as a webcam for recordings.
Camera Background Removal: An AI-powered tool that removes or replaces the background in video recordings.
Workspaces & Teamspaces: Collaborative environments within Visla where teams can manage projects and resources.
Collaborative Video Editing: A feature that enables multiple users to edit videos together in real-time.
Video Sharing: Tools that facilitate the distribution of video content across various platforms.
Review & Comments: Features that allow team members to provide feedback and comments on video projects.
Auto Transcription: An AI-driven feature that automatically transcribes spoken words in videos into text.
Embed Videos: A tool that allows users to embed their videos into websites or other platforms.
Subtitles Pace: This refers to the speed at which subtitles appear and disappear on the screen in synchronization with the video. It impacts readability and viewer comprehension, ensuring that the subtitles match the natural flow of speech or dialogue in the video.
Subtitles Highlight: This feature emphasizes specific words or phrases in the subtitles, often by using bold text, color changes, or underlining. It is used to draw attention to key points, enhance clarity, or guide the viewer’s focus during the video.
Closed Caption (CC): A feature in video players, such as YouTube or Visla, that displays transcribed text of the spoken dialogue, sound effects, and other relevant audio elements of a video. Closed captions are typically designed for accessibility, enabling viewers who are deaf or hard of hearing to understand the content. Unlike subtitles, closed captions may also include descriptions of non-speech audio, such as background noises or music cues. Users can toggle closed captions on or off depending on their preferences.
For more detailed explanations and additional terms, you can explore the various sections available on Visla's website.