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Talking Avatar Review: A Portrait Plus Audio, Nothing Else

Pick Talking Avatar for a fast, cheap way to make a still portrait speak your own audio; it's not built for full-body movement or long-form video.

Open the Playground

Spicy Index

68.5/ 100

Preliminary

Freedom Score

Not enough evidence yetRange if the rest pass: 28.0–100.0

Content levels

Tested 2 of 6 probe types · 3 runs

  • Mild · The lightest prompts in the test

  • Moderate · Where filtered models start to refuse

  • Strong · Mid-scale; must be tested before a model is ranked

  • Very strong · Where most models start to hold back

  • Maximum · The top of the scale, scored in two halves: class A and class B

Price
—
Median time
68 s
Success rate
Collecting data

Talking Avatar takes two files — image_url, a portrait, and audio_url, a recording of speech — and returns a video of that face speaking the recording. Mouth shapes, small head movements and blinks follow the audio; clothing, background and framing stay as they were in the portrait. The output is exactly as long as the audio, from 3 to 60 seconds, at $0.018 per second, so a 10-second line costs $0.18.

The verdict

We haven't yet run content-ladder probes on this endpoint, so we can't report how it handles the rungs we test on generative models. What we can say from the published example and the schema: it's a narrow tool built to add a synced voice to one portrait, not a scene generator, and it's priced and shaped accordingly.

Try Talking Avatar →

Key facts

  • Content ladder: not tested yet on this endpoint.
  • Scoring: see the score card on this page for whatever run data we've added.
  • Price: $0.018 per second of output; a 30-second line costs $0.54.
  • Limits: audio must run 3 to 60 seconds; output is about 0.2 megapixels (640×352 from a 16:9 photo, 400×544 from a 3:4 portrait) at 25 fps.
  • Sources: the scoring rules are on our review methodology page, and the full parameter list is on the Talking Avatar model page.

What we liked and what held it back

What we liked

  • The output length is exactly the audio length. There's no separate duration field to get wrong; the video runs as long as the recording does, so pricing a job is just multiplying seconds by $0.018.
  • mask_url handles multi-person portraits. If more than one person is in the photo, painting the speaker white in a mask tells the model who's supposed to talk, rather than requiring a pre-cropped single-subject image.
  • The prompt field is optional and light-touch. In the published example, the text sent was just "a warm, relaxed delivery to the camera" — a mood note, not a scripted description of the scene.
  • It's cheap for what it does. At $0.018 a second, a full minute of lip-synced speech from a single portrait costs $1.08.
  • Small head movement and blinks come with the sync, not as a separate setting. You don't have to ask for natural-looking micro-movement; it's part of what the audio drives.

What held it back

  • The output resolution is fixed and modest. About 0.2 megapixels — 640×352 or 400×544, depending on your portrait's aspect ratio — is enough for a talking-head clip, not for anything you'd want to crop in on.
  • It only moves the head, not the body. Clothing, background and framing come straight from the portrait and stay static; if you need gestures or full-body motion, this isn't that tool.
  • A 60-second ceiling on the audio. Longer scripts need to be split into multiple calls and stitched afterwards.
  • One portrait, one speaker at a time. mask_url picks which person in a group photo speaks; it doesn't let two people talk in the same output.
  • We have no content-ladder data on this endpoint yet. Until we run those probes, we can't say how it behaves at any rung, so treat that as an open question rather than an assumption in either direction.

What we tested

We haven't run content-ladder probes on Talking Avatar yet, so this section reports what we can verify from the schema and the one published example rather than scored runs. The example pairs a terrace portrait with a roughly four-and-a-half-second spoken line and the prompt "a warm, relaxed delivery to the camera" — the prompt sets the delivery style; the audio and portrait do the rest.

Prompts that worked

The prompt here is a short delivery note, not a scene description — the portrait and the audio already decide what's on screen.

1. A published example: set the delivery, not the scene.

text
a warm, relaxed delivery to the camera

Run this on Talking Avatar →

Settings that matter: use a portrait with a clear, roughly frontal face; keep the audio free of background music, since the model is syncing lips to speech, not separating a mix; and if the portrait shows more than one person, send mask_url painted over the intended speaker rather than trying to describe who should talk in the prompt.

Alternatives

  • Already have a video and just need it re-voiced? Lip Sync redraws the mouth on existing footage instead of animating a still portrait, at $0.012 per second.
  • Need sound effects on a silent clip instead of speech? Video Sound Effects generates ambience and effects from the picture, at $0.0012 per second.
  • Need the whole body to move, not just the head? Wan 2.2 Animate transfers full-body motion from a driving clip onto a character image.

How far Talking Avatar goes

Each level, on each task, based on confirmed results. A level earns points only when the content actually appears, and a single run earns 60% at most.

Freedom points by level and task
LevelTalking avatar
MildThe lightest prompts in the test
2/2 delivered16.0 / 20 pts
ModerateWhere filtered models start to refuse
1/1 delivered12.0 / 20 pts
StrongMid-scale; must be tested before a model is rankedNot tested yet
Very strongWhere most models start to hold backNot tested yet
MaximumThe top of the scale, scored in two halves: class A and class BNot tested yet
Task scoreRange if the rest pass: 28.0–100.0Tested Oct 5, 2026

Tested Oct 5, 2026 to Oct 5, 2026

This site stays safe for work: results are written up as text, any image shown is pixel-censored, and test prompts are never published. We never test anyone who looks underage, real people’s likenesses or non-consent.

See every test record →See the uncensored leaderboard →

Run your own prompt and see how far it goes

Open the Playground

How Talking Avatar earns its Spicy Index

Each dimension below links to its full workings: the table row every point came from and why points were lost.

Public leaderboards 45% of quality
Not yet tested

No exact match on a tracked public leaderboard yet. How it works

Blind output test 35% of quality
68.5
Arena quality 20% of quality
Not yet tested

Counts once the model has 100+ blind votes and a 95% interval under 200 Elo. How it works

Capability 10.5% weight
Not yet tested

Not scored yet. How it works

Freedom Score 30% weight
Not yet tested

Freedom evidence is untested or insufficient. The Index retains the original quality and capability score, is marked preliminary and still receives a rank. Missing evidence is not zero. How it works

Freedom evidence is untested or insufficient. The Index retains the original quality and capability score, is marked preliminary and still receives a rank. Missing evidence is not zero.

Open the full test report →

What Talking Avatar can do on SpicyAPI

Straight from the live model specification on SpicyAPI. Some creators offer more in their own apps; this is what you can call through our API today.

Capabilities by endpoint
FeatureTalking avatar
Native audioNo
Seed controlYes
Negative promptNo
See every parameter and code sample →

How long it really takes

Measured on real jobs over the last 30 days, from request to finished result. Times include our own test runs.

Median time
68 s
90th percentile
1.8 min
Wait per second of video
Collecting data
Success rate
Collecting data

A time appears once at least 10 completed jobs are in. Success rates count customer jobs only and stay hidden for every model until we have a full 30 days of traffic.

Models to consider instead of Talking Avatar

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Set every parameter in the Playground and see the exact price before you run it.

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