Luvvoice

Luvvoice turns text, PDF and TXT files into spoken audio in about 70 languages, with roughly 200 AI voices, adjustable pitch and rate, MP3 downloads and 20,000 character conversions for signed-in users.

Luvvoice is a browser based text to speech service that converts written scripts into spoken audio and hands back an MP3 file. The library covers roughly 200 AI voices across more than 70 languages, including English, Spanish, Chinese, German, French, Japanese, Korean, Portuguese, Russian, Arabic, Hindi, Thai and Vietnamese. A short sample can be auditioned before committing, and speech rate and pitch are adjustable so a single voice can be tuned to different pacing needs. The workflow is deliberately plain. Paste or type a script into the editor, pick a language and a voice, then generate and either listen in the page or download the result. Beyond raw text, Luvvoice accepts PDF and TXT uploads and reads them aloud, and it includes an audiobook mode for longer material. Logged-in and paid users can push up to 20,000 characters in a single conversion, which matters for chapters, training scripts and long narration jobs. A pause control lets signed-in users insert silences of 0.5 to 5 seconds, useful for dialogue, lists and dramatic beats. Generated audio stays available for 30 days. The audience is broad: YouTubers and TikTok creators voicing shorts, podcasters producing intros, animators and game teams sketching character dialogue, educators building listening material, and accessibility teams turning web content into speech. A staff of public custom voices with named personas (Diego Herrera for documentary narration, Asher Lane for animation, Shu Ya for social media) sits alongside the standard voice list, and users can create their own custom voices. Apps for iOS and Android extend it beyond the desktop browser, and an API and MCP endpoint exist for programmatic use. Against dedicated voice synthesis platforms, Luvvoice leans on breadth and price rather than studio grade direction tools. It is a sensible first stop for creators who need multilingual narration quickly, and a weaker fit for teams that require granular per word editing, multi speaker timelines or voice cloning verified at scale.