Respeecher: The Voice Technology Hollywood Actually Credits

When Luke Skywalker spoke as a young man again in The Mandalorian, and when Darth Vader's voice returned in Obi-Wan Kenobi, the studio behind it wasn't a household name in AI — it was Respeecher, a small team working out of Kyiv. Both credits are real, both are publicly acknowledged by Lucasfilm, and the second one was finished while the team sheltered from Russian bombardment during the 2022 invasion. That's the level this tool operates at: not a consumer app for quick clips, but the voice-conversion technology studios reach for when the result has to hold up in a finished film, not just a demo reel.

What Is Respeecher?

Respeecher was founded in Kyiv, Ukraine in February 2018 by Alex Serdiuk, Dmytro Bielievtsov, and Grant Reaber, and has spent most of its history working directly with film and TV productions rather than building a mass-market app first. Its list of real, credited work includes voicing young Luke Skywalker in The Mandalorian, restoring James Earl Jones's Darth Vader across multiple Disney+ Star Wars series, and smoothing Adrien Brody and Felicity Jones's Hungarian dialogue in The Brutalist — a film that went on to win three Academy Awards, with Respeecher-assisted projects collectively earning more than 20 Oscar nominations. The company continued shipping production work throughout the full-scale Russian invasion of Ukraine, including completing its Vader audio for Obi-Wan Kenobi while sheltering from bombardment — a detail worth knowing given how much of the AI voice industry's marketing is aspirational rather than demonstrated under real conditions.

Functional Advantages of Respeecher

• Converts a real performance instead of generating one from text. Because Respeecher works in the acoustic domain rather than from a script, it carries over the actual emotion, breath, timing, and non-verbal sounds of a real take — the kind of nuance text-to-speech has to approximate rather than inherit directly.
• Script changes don't require re-booking the voice you're replicating. Once a target voice is trained, new lines are driven by a source performer's read rather than the original talent re-recording — the practical reason studios use it to avoid costly reshoots and pickups.
• Sidesteps the problems that trip up text-based TTS. Working from audio rather than a phonetic dictionary means unfamiliar names, acronyms, and non-verbal sounds like laughs or gasps carry through naturally, instead of the mispronunciation and low-resource-language issues that dictionary-based systems run into.
• Two access tiers matched to project scale. A self-serve Voice Marketplace and API handle smaller creator projects — game dialogue, YouTube content, indie dubbing — while a dedicated Voice Lab team handles full film and TV productions with white-glove support.
• An audio super-resolution tool for recovering old or degraded recordings. Archival tape, old Skype calls, or low-bitrate MP3s can be restored to a usable quality before conversion, which matters specifically for reviving historical or deceased voices from imperfect source material.

How Respeecher's Voice Conversion Actually Works

Respeecher's core technology is speech-to-speech (STS) conversion, not text-to-speech — and the distinction matters more than it might sound. Every project starts with two voices: the target voice, which is the identity you want the final output to sound like, and the source voice, a performer who actually reads the lines with real timing, emotion, and delivery. Roughly an hour of clean target-voice recordings is typically enough to train a conversion model, and both the target and source recordings need to cover the emotional range the final output is expected to have — a flat, neutral reading won't produce a clone capable of shouting or whispering convincingly later.

The conversion itself, per Respeecher's own patent filings, runs on an adversarial refinement loop: a generative model produces candidate audio that maps the source performance onto the target voice's timbre, and a separate discriminative model checks that candidate against real recordings of the target voice — evaluated against a broader space of timbre data across many different voices, not just a single reference clip — to catch inconsistencies. Those inconsistencies get fed back to the generator, which produces a refined candidate, and the loop repeats until the output is convincing. Because this entire process operates on the acoustic signal rather than converting text to phonemes first, it's why Respeecher can carry through laughs, breaths, and emotional inflection that a dictionary-based TTS system would have to reconstruct from scratch — and also why editing a script mid-production means re-recording the source actor's read, not the target voice at all.

Respeecher Pricing

Respeecher runs three separate pricing tracks depending on what you're actually trying to do, and it's worth being clear that only some of this is self-serve:

• Voice Marketplace (self-serve STS/TTS): Pay-as-you-go credits billed per minute of generated audio, or monthly subscription plans for heavier, recurring use — third-party trackers report subscription tiers roughly in the $150–$450/month range, though Respeecher doesn't publish a fixed public price list, so treat any specific figure as approximate until confirmed at checkout. A free trial (reported around 3 days) is available before committing.
• Real-time TTS API: Pay-as-you-go, publicly referenced at roughly $2/hour for real-time text-to-speech generation, aimed at applications like game dialogue needing sub-200ms response times.
• Film, TV, and custom Voice Lab projects: Quote-only through Respeecher's sales team — there's no public price list here at all. Third-party reviewers who've gone through the process report professional projects commonly starting in the $2,000–$5,000 range for a single voice conversion, scaling to tens of thousands of dollars for full feature-length dialogue replacement, though Respeecher itself doesn't publish these figures and actual cost depends heavily on audio length, voice complexity, and consent/verification overhead.

The practical takeaway: if you're testing the technology or working on a smaller creator project, the Marketplace and API let you get real usage-based numbers without talking to sales. If you're planning film or TV work, budget for a sales conversation rather than a checkout page — that's genuinely how the higher end of this product is sold.

Tips for Better Respeecher Results

• Record source audio raw and uncompressed. Respeecher's own guidance calls for clean, unprocessed audio at 48kHz/16-bit — skip effects, compression, and any post-processing before submitting, since those can't be cleanly separated back out later.
• Denoise before you convert, not after. Background noise, hum, or artifacts act like smudges between the AI and the vocal signal it needs to isolate — using a denoise pass, whether Marketplace's built-in tool or external software, before conversion produces a meaningfully cleaner result than trying to clean up the output afterward.
• Record both target and source audio across the full emotional range you'll need. A flat, neutral read won't teach the model to convincingly shout, whisper, or express distress later — cover the actual range your project requires during the initial recording session, not just calm narration.
• Don't assume old or degraded recordings are unusable. Archival tape, old calls, and low-bitrate files can often be restored with audio super-resolution before conversion, which matters if you're working from imperfect historical source material rather than a fresh studio session.
• Complete voice calibration carefully before your first conversion. Since calibration establishes baseline characteristics like average pitch, rushing through it produces conversions that need more correction later than doing it right the first time would have.

Respeecher vs. Play.ht

These two tools solve almost opposite problems. Play.ht exists to make a cloned voice respond instantly inside a live conversation — there's no real "performance" being converted, just text going in and audio streaming out as fast as possible. Respeecher exists to preserve a performance that already happened, carrying its emotional texture into a different voice for content that will be watched or listened to as a finished piece, not talked to in real time. If your project is a voice agent, Respeecher's architecture is the wrong fit entirely; if it's a scene that needs to sound like a specific actor delivered it, that's precisely the problem Respeecher was built to solve.

Frequently Asked Questions

What is Respeecher used for?

Respeecher is used for film and TV dubbing, voice restoration and de-aging, video game character voices, and multilingual localization — anywhere a specific voice's performance needs to be preserved in a different identity or language.

Is Respeecher voice cloning the same as text-to-speech?

No. Respeecher's core technology is speech-to-speech conversion — it transforms an existing recorded performance into a target voice, rather than generating speech from typed text the way most TTS-based cloning tools do.

How much does Respeecher cost?

It depends on which product you're using. The self-serve Voice Marketplace runs on pay-as-you-go credits or monthly subscriptions, the real-time TTS API is priced around $2/hour, and custom film or TV voice cloning projects are quote-only through Respeecher's sales team, with no public price list.

Can I clone anyone's voice with Respeecher?

No. Respeecher requires proof of consent before starting any project and won't clone a living private individual's or actor's voice without their explicit permission, though it does allow non-deceptive use of some historical and public figures' voices under its own ethics policy.

Does Respeecher work in real time?

Its Voice Marketplace conversion is not currently real-time, but Respeecher's separate TTS API is built for low-latency use, generating audio in roughly 200 milliseconds for applications like game dialogue.

Change the Voice in Your Recording with Echora

To explore a similar voice-to-voice workflow in your browser, upload a speech recording to Echora's Voice Changer and choose a built-in voice or add a target-voice reference recording. Echora uses the source recording's spoken content and performance to generate a version with a different voice, which you can preview and download.

Convert Your Recording →