What is Text-to-Speech?
Text-to-speech (TTS) is AI technology that converts written text into spoken audio, generating natural-sounding human voices from text input for use as voiceover in video and audio production.
Text-to-Speech Explained
Modern AI text-to-speech has reached a quality level where synthetic voices are largely indistinguishable from human recordings at normal listening speeds. Leading TTS providers including ElevenLabs, Murf, Play.ht, and OpenAI TTS offer voice cloning (replicating a specific person's voice from a sample), emotion and tone control, pacing adjustment, and multilingual support. In video production, TTS enables creators to generate professional voiceover from a script in seconds, without recording equipment or on-camera presence. This is foundational for faceless video workflows, multilingual dubbing, and content scaling. The choice of voice, pacing, and emphasis directly affects viewer engagement, so creators typically test multiple voices and adjust pronunciation manually for technical terms. BlitzReels integrates TTS into its video generation pipeline, allowing voice selection alongside visual and caption configuration.
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Voiceover
A voiceover is narration or dialogue recorded separately from on-screen visuals and laid over the video during editing, providing audio context without showing the speaker on camera.
Faceless Video
A faceless video is a video produced without showing the creator's face on camera, using AI-generated visuals, stock footage, screen recordings, or animations paired with voiceover narration.
AI Captions
AI captions are automatically generated text overlays synchronized to spoken audio in a video, created using speech recognition AI that transcribes audio and places text with word-level timing.
AI Model
An AI model is a machine learning system trained on large datasets to perform a specific task, such as generating video from text, transcribing audio, synthesizing speech, or analyzing content.
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