Turbo v2.5: Fast AI Voiceovers in 32 Languages

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Overview

Turbo v2.5 is a text-to-speech model built for speed and clarity, converting written text into natural-sounding audio across 32 languages. If you've ever needed a voiceover for a video, a narration for a presentation, or a spoken version of your written content, waiting minutes for audio to render is a real friction point. Turbo v2.5 addresses that directly with low-latency generation that returns clean, expressive audio in seconds. On Picasso IA, you can access this model with no setup, no code, and no audio engineering background required.

How It Works

Type or paste the text you want spoken into the prompt field
Select one of 26 available voices, ranging from calm and professional to warm and conversational
Set your language code, speech speed (from 0.25x to 4x), and style intensity to match your project's tone
Fine-tune stability and similarity boost to control how consistent or expressive the voice sounds across the clip
Hit generate and download your audio file, ready to drop into any video, slide deck, or podcast

Frequently Asked Questions

Do I need programming skills or technical knowledge to use this? No, just open Turbo v2.5 on Picasso IA, adjust the settings you want, and hit generate.

Is it free to try? Yes, you can run the model and preview the output before committing. Generation costs are shown upfront so there are no surprises.

How long does it take to get results? Turbo v2.5 is built for low latency. Most short to medium texts return audio within a few seconds of hitting generate.

What languages are supported? The model supports 32 languages. You select the target language using the language code field (for example, "en" for English, "es" for Spanish, or "fr" for French).

Can I control how the voice sounds? Yes. Stability controls how consistent the voice stays across a clip. Similarity boost influences how closely the output tracks the voice's natural profile. Raising the style setting adds more expressive variation to the delivery.

What output format is the audio in? The generated audio is delivered as a standard audio file you can download and use in any video editor, presentation tool, or podcast platform.

What happens if I'm not happy with the result? Adjust the stability or style settings and regenerate. Small changes to these parameters often produce noticeably different results without touching your input text.

Credit Cost

Each generation consumes 1 credit

1 credit

or 5 credits for 5 generations

Features

Everything this model can do for you

32 languages supported

Produce speech in 32 different languages from a single interface without extra configuration.

25+ voice options

Choose from a diverse roster of voices covering different genders, accents, and tones.

Adjustable speed

Set the speech rate anywhere from 0.25x to 4.0x to match the pacing your project needs.

Style exaggeration control

Dial in expressiveness from neutral narration to animated delivery using a single slider.

Low latency output

Receive audio quickly, making iterative testing practical without long waits between runs.

Context-aware generation

Supply surrounding text so the model maintains natural rhythm across longer passages.

Stability and similarity tuning

Balance voice consistency and naturalness with two independent parameters.

Use Cases

Generate a voiceover for a product explainer video by pasting the script and selecting a warm, professional voice from the built-in roster.

Record podcast-style audio from a written article draft by adjusting the speed parameter to match your preferred narration pace.

Produce multilingual audio versions of a landing page by switching the language code and running the same text through different voice profiles.

Add spoken narration to a slide presentation by converting the text from each slide into a separate audio clip.

Create character dialogue for a game or interactive story by assigning a different voice to each character and generating their lines individually.

Generate promotional audio clips from ad copy by testing multiple voice styles and selecting the tone that fits your brand.

Build spoken alerts or in-app announcements by converting short notification messages into ready-to-use audio files.

Examples

6.6s

Speed: 1

Voice: Reginald

Stability: 0.5

Language Code: en

Similarity Boost: 0.75

Richard Paul Astley (born 6 February 1966) is an English singer, songwriter, radio DJ and podcaster. He gained fame through his association with the production trio Stock Aitken Waterman, releasing the 1987 album Whenever You Need Somebody, which sold 15 million copies worldwide and was certified Platinum by both the BPI and the RIAA. His debut single "Never Gonna Give You Up" was a No. 1 hit in more than 25 countries, winning the 1988 Brit Award for Best British Single. The song also stayed at the top of the UK chart for five weeks in 1987 and was the best-selling single of that year. His 1988 single "Together Forever" also topped the US Billboard Hot 100 and was one of his eight songs to reach the UK Singles Chart Top 10. In 1988, Astley followed up his debut album with Hold Me in Your Arms which achieved Platinum and Gold certifications internationally. The lead single "She Wants to Dance with Me" became a worldwide Top 10 hit. In 1991, he left Stock Aitken Waterman and moved his musical direction towards soul, which he explored on his other albums. His 1991 single "Cry for Help" was his last single to reach the Top 10 in either the US or UK. In 1993, he retired from music to focus on spending time with his partner and daughter. He returned to the music industry in 2000 and released 50 to celebrate his 50th birthday in 2016, with the album debuting in the UK at No. 1. His most recent studio album Are We There Yet? was released in 2023. Astley has sold approximately 40 million records worldwide and was nominated in 1989 for a Grammy Award for Best New Artist but lost to Tracy Chapman. During the period between his debut release and his fifth single, Astley outsold every other artist in the world. In the United Kingdom, Astley was also in the Top 40 every week for the first six months of his career. He became an internet phenomenon in 2007 following the emergence of the Rickrolling meme, which utilizes the music video for "Never Gonna Give You Up", and his career was revitalised by the meme's popularity. A year after the Rickrolling meme began, he was voted "Best Act Ever" at the MTV Europe Music Awards 2008. On 28 July 2021, "Never Gonna Give You Up" became the fourth 1980s song to reach one billion views on YouTube.

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