Voice acting analyzer. Upload a read or performance and AI rates character work, range, and delivery.
Select the AI model for audio analysis. Different models may have different capabilities.
Record audio directly from your microphone
To find out how good your voice acting is, upload a read or performance and the AI evaluates it like a casting director listening to an audition: an overall performance rating out of 10, character believability (whether the voice actually matches the implied role), the emotional range you demonstrate and where it lands or falls flat, your pacing, breath, and pause use, and your microphone technique and presence. It closes with two specific notes a casting director might give for the next take, which is exactly the feedback structure of a real callback. Voice acting is a craft where self-assessment fails hard: you hear your intention, listeners hear your execution, and the gap between the two is where auditions die. The mic technique component matters too, since plosives, inconsistent distance, and room noise disqualify reads before anyone judges the acting. The analysis covers performance and technical delivery in one pass.
Upload your performance (a commercial read, character demo, audiobook sample, or animation audition) and the AI evaluates it on casting criteria. The overall rating out of 10 anchors where the read stands. Believability assessment asks whether the voice convinces as the implied character, the difference between doing a voice and being the character. Range analysis maps the emotional beats you attempt and judges which ones land and which fall flat, since reaching for an emotion and missing reads worse than staying in your lane. Pacing analysis covers rhythm, breath placement, and pause use, the tools that separate a read from a performance. Mic technique assessment listens for presence, plosives, distance consistency, and room tone. The two closing notes are written as a casting director would deliver them: specific, actionable, aimed at the next take rather than abstract craft theory.
Upload a read and the AI scores it out of 10 across what casting actually weighs: whether the voice convinces as the character, the emotional range you show and where it lands or misses, pacing and pause control, and mic technique. You get two specific director-style notes for the next take instead of vague encouragement.
It evaluates the craft fundamentals a casting director hears in the first thirty seconds: believability, range, pacing, presence. What it cannot replicate is the role-specific fit decision, since casting is matching a voice to one character in one production. Use it to polish the controllable layer before the humans make the subjective call.
Whether listeners buy the voice as the person, not an actor doing a voice. Believability breaks when the accent wanders, the energy mismatches the implied situation, or the read sounds like reading. The assessment names where your performance holds the illusion and where it slips, which is the note most beginners need most.
Yes, because it affects castability in real life. Plosive pops, inconsistent distance, breath slams, and room echo all read as inexperience to anyone audition-screening, regardless of the acting underneath. The analysis separates performance notes from technical notes, so you know whether to book practice time or fix your recording space.
As a craft read, honestly given, with known limits. Voice acting judgment is partly taste, the analysis hears one take of one piece of material, and a 7 on a commercial read says nothing about your animation range. The per-dimension notes are the durable value; the number is just a way to track your own progress.
Thirty seconds to a few minutes of performance: a commercial read, character demo segment, audiobook passage, or animation sides. Pick material with an emotional shift in it, since flat copy gives the range assessment nothing to evaluate. Record it the way you would submit it, because the mic technique evaluation should see your real setup.
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