
Ice Queen
Cold · villainous
● Revenge heroine · icy villainess
First choice for cold laugh and sarcasm. She never has to raise her voice for 'And now?' to sting.
An emotional AI voice is not about picking a nicer-sounding narrator. It is about giving every line its own feeling. In AI Drama Voice you write the script as Name (emotion): line, and eight tags take effect line by line: cold laugh, choked, whisper, furious, tender, excited, calm and sarcastic. Several characters take turns, each acting their own lines, and the English, Thai or Spanish version keeps the same emotion on the same line.
Updated Nov 5, 2026Fact-checked Nov 5, 2026
Chinese original · Showdown at the engagement party
Chinese · Script excerpt · 5 characters

NarratorCalm
重生回订婚宴的这一天,她终于看清了每一张笑脸背后的算计。
Reborn on the day of her engagement party, she could finally see the scheme behind every smile.

Best friend · Su TianTender
姐姐,喝了这杯,今晚你就是全场最幸福的人。
Drink this, sis. Tonight you'll be the happiest woman in the room.

Heroine · Lin WanCold laugh
这杯酒,你还是留着自己喝吧。
Keep that glass. You'll want it for yourself.

Fiancé · Gu ChengFurious
你疯了?今天是我们的订婚宴!
Have you lost your mind? This is our engagement party!
The studio below has a short-drama scene loaded: a cold laugh from the rival, a calm heroine, a sarcastic lead and a father choking up. Click any line's emotion, pick another tag and the script rewrites itself as Name (emotion): line. This step costs no credits.
Narrator
Midnight Radio · 2 lines
5 roles · 8 lines
537 / 8,000 charsSame cast · Chinese
The first two clips are one character saying one line, with only the emotion tag changed. The last two are Sample A, Showdown at the engagement party, in the Chinese original and in English: six emotions in one scene, and the English version follows them line by line.
Script excerpt · One line · furious take
Same characterFurious
You knew. All this time, you knew.
Script excerpt · One line · whispered take
Same characterWhisper
You knew. All this time, you knew.
Script excerpt · Chinese original · Showdown at the engagement party

NarratorCalm
重生回订婚宴的这一天,她终于看清了每一张笑脸背后的算计。
Reborn on the day of her engagement party, she could finally see the scheme behind every smile.

Best friend · Su TianTender
姐姐,喝了这杯,今晚你就是全场最幸福的人。
Drink this, sis. Tonight you'll be the happiest woman in the room.

Heroine · Lin WanCold laugh
这杯酒,你还是留着自己喝吧。
Keep that glass. You'll want it for yourself.

Fiancé · Gu ChengFurious
你疯了?今天是我们的订婚宴!
Have you lost your mind? This is our engagement party!

Heroine · Lin WanSarcastic
正因为是订婚宴,才要当着所有人的面,把账算清楚。
Exactly. That's why everyone gets to watch me settle the score.

Father · Lin ZhenguoChoked up
晚晚,你说的……都是真的?
Wanwan… is all of that true?
Script excerpt · English · Showdown at the engagement party

NarratorCalm
Reborn on the day of her engagement party, she could finally see the scheme behind every smile.

Best friend · Su TianTender
Drink this, sis. Tonight you'll be the happiest woman in the room.

Heroine · Lin WanCold laugh
Keep that glass. You'll want it for yourself.

Fiancé · Gu ChengFurious
Have you lost your mind? This is our engagement party!

Heroine · Lin WanSarcastic
Exactly. That's why everyone gets to watch me settle the score.

Father · Lin ZhenguoChoked up
Wanwan… is all of that true?
With an emotional AI voice, the feeling lives in the script: the studio reads it and applies it line by line, all on one page.
Paste an episode. The narrator and every character are detected and given a voice. Lines that already carry an emotion in brackets are read straight into the matching tag.
Tip · Cast analysis is free, so you can adjust it as often as you like.
Write Gu Cheng (furious): … in the script, or click a line in the studio and pick one of the eight tags; the script is rewritten in the same format.
For a delivery the tags don't cover, such as trembling, stifling a laugh or gritting your teeth, write it in the brackets. A note under 20 characters is passed to the voice model as that line's direction.
After the episode is generated, play it back line by line. If one line misses, change its tag or its wording and regenerate just that line. Export an MP3 and an SRT with a cue for every line.
For an emotional AI voice, the same tag lands very differently depending on the voice. These are the pairings that work best in short dramas; browse every voice in the voice library.

Cold · villainous
● Revenge heroine · icy villainess
First choice for cold laugh and sarcasm. She never has to raise her voice for 'And now?' to sting.

Deep · commanding
● CEO male lead
A calm threat hits harder than a shout. Save furious for the scene where the glass actually breaks.

Bright · playful
● Sweet girl · scheming best friend
Natural in tender and excited, including the sugary lines that hide a trap.

Soft · soothing
● Gentle heroine
Shines in tender and whisper: confessions, bedtime lines, late-night monologues.

Warm · grounded
● Father · elder
The workhorse of choked scenes: apologies, regret, a parent finally saying sorry.

Clear · energetic
● Underdog hero
Excited and furious payoff lines, bright rather than muffled.

Velvet · narrator
● Narrator
Holds the scene together with calm and drops to a whisper for suspense, leaving the peaks to the cast.

Over-the-top · comic
● Comic villain
Over-the-top mockery for comic dramas and animated series.
These two clips are genre references voiced by a third party, not output from our cast. The tags next to each line show how you would mark the same script with the eight AI Drama Voice tags, so you can copy the approach for your own scenes.
Script excerpt · Switched-at-birth heiress · the second DNA report
Father · Xu ZhengchuanFurious
都愣着干什么?今天的宴会到此为止,送客!
What are you all standing there for? The banquet is over. Show the guests out!
Elder brother · Xu ZhaoExcited
清妍,你……你早就知道这件事吗?
Qingyan… did you know about this all along?
Fake heiress · Xu QingyanChoked up
哥,我不知道,我什么都不知道……
I didn't know, I swear, I didn't know anything…
NarratorCalm
宾客们慌忙起身。许昭追着父亲出了门,周曼扶着桌沿,望着姜禾,嘴唇动了几下:
The guests scrambled to their feet. Xu Zhao ran after his father; Zhou Man gripped the table edge, looked at Jiang He, and her lips moved:
Mother · Zhou ManChoked up
小禾……是妈对不起你。
He… I'm so sorry. This is my fault.
Script excerpt · Apocalypse · the corner store on day seven
Nurse · Su MinChoked up
那盒药给我,求求你们。我女儿烧了两天了,叫都叫不醒。她就藏在对面楼的地下室里,等我回去。
Give me that medicine, please. My daughter's had a fever for two days, I can't wake her. She's hiding in the basement across the street, waiting for me.
Old HanCalm
药先放着。苏护士,规矩你比我懂,进门先验伤。
The medicine stays put. Nurse Su, you know the rules better than I do: everyone gets checked for bites first.
NarratorCalm
他抬起撬棍,指了指江烬的左手。
He raised the crowbar and pointed it at Jiang Jin's left hand.
Old HanCold laugh
纱布,拆了。
The bandage. Off.
Jiang JinCalm
搬货的时候,被碎玻璃划的。
Broken glass. I cut it moving stock.
Ah HaoExcited
划个口子你缠那么厚?韩哥,他肯定被咬了!我就说这破店怎么七天都没出事!
A cut, wrapped that thick? Han, he's been bitten! I knew there was a reason nothing happened here for seven days!
Instead of one 'style' for the whole text, every line has its own tag: calm, then a cold laugh, then a line that chokes up.
Softly, mocking, heartbroken, shocked: the words screenwriters already use map onto the eight tags, and other bracketed notes still reach the voice.
Every character has their own voice and their own emotions, so an argument actually goes back and forth.
If a line misses, change its tag or wording and regenerate only that line. Failed lines are refunded automatically.
Translation receives each line with its speaker and emotion, and the voice reuses the original tag, so a cold laugh in Chinese is still a cold laugh in English or Thai.

Take the insult calmly, give the turnaround line a cold laugh, and only let the rival go furious when they are exposed. Keep the three apart and the payoff lands.

Start the confession tender and drop the key line to a whisper. Lower and slower moves an audience more than louder.

The more casual the villain's mockery, the harder the hero's excited breakthrough hits. A calm narrator line in between sets the rhythm.

Give a reunion scene one or two choked lines and bridge the rest with calm and tender. Wall-to-wall crying tires the audience; one real break is enough.
When people say an AI voiceover sounds flat, the voice is rarely the problem. The problem is that every line is read in the same mood. Short dramas keep viewers through emotional turns, and a two-minute scene usually turns several times. An emotional AI voice works when those turns are written into the script line by line. For general technique on pacing, pauses and rewriting lines, see the guide on adding emotion to AI voiceover; this page covers how emotion travels from script to finished audio inside AI Drama Voice.
The line 'I've been waiting for you.' has no attitude of its own. The tag decides which scene it belongs to:
| Script | Sounds like | Fits |
|---|---|---|
| Adrian (tender): I've been waiting for you. | Soft, with a smile in it | A reunion, a romance confession |
| Adrian (cold laugh): I've been waiting for you. | Cool, every word bitten off | An enemy at the door, a revenge opener |
| Adrian (whisper): I've been waiting for you. | Low, right at your ear | A thriller, someone in the dark |
Here is an original office-party comeback in six lines. It uses only four tags, and calm appears three times. Calm is the baseline; the cold laugh and the shout are the peaks. Peaks need a drop between them, or the audience never hears the turn.
| Beat | Line | Tag |
|---|---|---|
| Setup | Narrator: At the year-end party, the big screen lit up: Project of the Year. | Calm |
| Provocation | Vanessa: Relax, Hannah. This one's got nothing to do with you. Just clap. | Sarcastic |
| Restraint | Hannah: You're right. I really shouldn't get this award. | Calm |
| Turn | Hannah: Because every page of the original proposal has my name on it. | Cold laugh |
| Explosion | Vanessa: That's a lie! Security! | Furious |
| Close | Chairman: No need. I read the original last month. | Calm |
The most common mistake is thinking more emotion is better, so every line gets furious or excited. The whole scene ends up shouting and nobody can tell where the climax is. Tag the turning points and the payoff lines first; leave plain lines untagged or calm. Untagged lines are read in the tone their own words suggest.
You don't re-tag the dub. When you add English, Thai, Vietnamese, Indonesian or another language, each line goes to translation together with its speaker and emotion, is rewritten into natural spoken language, and is voiced with the original tag. A cold laugh stays a cold laugh, and bracketed stage notes carry over too. Sarcasm and wordplay depend most on phrasing, so for a lead title have a native speaker check those lines; the review workflow is on the multi-character dubbing page.
Eight tags plus bracketed directions cover most short-drama scenes: fights, comebacks, confessions, reunions, suspense. There is no intensity slider yet, and you can't mark exactly which word gets the stress. Mixed feelings like laughing through tears, or long stretches of sobbing, are less predictable; split them into two lines with separate tags or rewrite the line so it is easier to act. When a moment needs word-by-word acting, bring in a human actor for those few lines.
Emotional AI voice: check the tags for free first
Cast analysis costs nothing. Paste the script, check which emotion each line was given, then generate. Generation is charged by characters and failed lines are refunded; see pricing.
Mark the three to five lines where the scene turns and leave the rest. Generate, listen to the whole episode, then fill in.
The villain's baseline is a cold laugh or sarcasm, the CEO's is calm, the sweet girl's is tender. A steady baseline makes a character believable; for series work see keeping a character's voice consistent.
(gritting her teeth) or (out of breath) acts better than (really, really upset). The more concrete the note, the more the voice has to work with.
During the free analysis, confirm every line got the tag you meant, especially notes containing words like angry, warm or cold.
Use whisper and a calm narrator more than furious in suspense and horror; tension comes from pulling back. See horror story voiceover.
Cold laughs and sarcasm are what translation bends most. Review those lines first and, if one is off, edit the translated line and regenerate just that one.
They fall into two groups. General text-to-speech tools usually apply one style or mood to a whole passage, which suits a single narrator. Script tools such as AI Drama Voice tag every line separately and voice every character in one run. For dramas and animated series, check three things: can you change emotion per line, can it voice multi-character dialogue, and does the foreign-language version keep the emotion.
It detects the emotion you write into the script: bracketed words like sneering, gently, hushed or mocking are mapped onto one of the eight tags and applied to that line. Untagged lines are read in the tone their words suggest, but the voice won't add an obvious cold laugh or a choked delivery on its own. If a line should be acted, tag it.
Cast analysis and emotion detection are free: paste a script and you see every character's voice and every line's tag. Generating audio is charged by characters and failed lines are refunded automatically; plans are on the pricing page.
Yes. Click the line in the studio and pick another tag, or edit Name (emotion): line in the script, then regenerate only that line. The rest of the episode stays as it is.
Yes. Each line goes to translation with its speaker and emotion tag, and the voice reuses the original tag and bracketed notes, so the same character delivers the same line with the same emotion in English, Thai or Vietnamese. Have a native speaker check sarcasm and wordplay.
There is no intensity slider yet. Use bracketed directions to set the degree, such as (jaw clenched) for a quieter anger than furious, or (eyes welling up) for something lighter than choked. Punctuation and line length change the weight too.






Write Name (emotion): line and the cold laughs, tears and shouts land where you put them. One cast plays the whole episode, then plays it again in every language you pick.
Billed by characters generated · Failed runs refunded automatically · Alipay, WeChat Pay and cards