🎭 Per-line emotion · Drama dubbing

Emotional AI Voice: Every Line Acted, Not Read

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.

  • 8 emotion tags
  • Edit and redo one line
  • Emotion kept in every language
  • MP3 + SRT

Updated Nov 5, 2026Fact-checked Nov 5, 2026

Chinese original · Showdown at the engagement party

Chinese · Script excerpt · 5 characters

  1. 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.

  2. 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.

  3. 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.

  4. 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!

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Try it now

Try it: watch the tags land on each line

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

537 / 8,000 chars

Same cast · Chinese

Dub the episode
Unlimited free analysis · Dubbing is charged per character, failed runs refundedOpen in the studio
Listen

Same line, different tag, different scene

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

  1. Same characterFurious

    You knew. All this time, you knew.

Four steps

How to make an AI voice with emotion, in four steps

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.

  1. 01

    Paste the script, get a cast

    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.

  2. 02

    Tag the lines that matter

    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.

  3. 03

    Beyond the eight, add a stage note

    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.

  4. 04

    Generate and listen line by line

    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.

Emotion tags

The eight emotion tags: how to write them and what they sound like

In an emotional AI voice run, each tag becomes a short delivery direction sent to the voice model. You don't have to use the tag word itself: the words in the third column count too.

The direction column is the exact cue the voice receives. Chinese equivalents (冷笑, 哽咽, 耳语 …) are recognised too. Example lines are written for this page; paste them into the studio to hear them.
TagDirection sent to the voiceAlso recognisedExample line (original)
Cold laughwith a cold, contemptuous laughsneer, scoff, smirk, coldly, icyClaire (cold laugh): Three years ago I wasn't good enough for this family. And now?
Chokedchoked up, holding back tearschoked up, sobbing, crying, tearful, heartbrokenMom (choked): I didn't even recognise you that day…
Whisperwhisperingsoftly, quietly, hushed, whisperingMaya (whisper): Don't move. He's right outside the door.
Furiousfurious, shoutingangry, shouting, yelling, rage, outragedEthan (furious): Who told you to touch her?
Tendertender and gentlegently, lovingly, warm, warmlyLeo (tender): Hey. I'm here. You're safe.
Excitedexcitedthrilled, shocked, surprised, amazedKai (excited): It worked! Ninth level, I finally broke through!
Calmcalm and evenflat, steady, evenly, composedNora (calm): I've read the contract. I'm not signing.
Sarcasticsarcastic, mockingmocking, taunting, teasing, wryAunt Linda (sarcastic): Oh, so now the country girl knows about manners?

Deliveries the tags don't cover

If the bracket holds something that isn't one of the words above, such as (trembling), (stifling a laugh) or (out of breath), it is not thrown away. It goes to the voice model as the line's delivery direction. Keep it short and concrete, under 20 characters.

The tag can sit after the name, Maya (whisper): Don't move, or right after the colon, Maya: (whisper) Don't move. Both work. The narrator can take tags as well, for example Narrator (whisper): At the end of the hall, another light went out.

Cast

Which voices carry which emotions best

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.

  • Ice Queen

    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.

    VillainsFemale9 languages
  • The CEO

    The CEO

    Deep · commanding

    ● CEO male lead

    A calm threat hits harder than a shout. Save furious for the scene where the glass actually breaks.

    Male leadsMale9 languages
  • Sweetheart

    Sweetheart

    Bright · playful

    ● Sweet girl · scheming best friend

    Natural in tender and excited, including the sugary lines that hide a trap.

    Female leadsFemale9 languages
  • Gentle Heart

    Gentle Heart

    Soft · soothing

    ● Gentle heroine

    Shines in tender and whisper: confessions, bedtime lines, late-night monologues.

    Female leadsFemale9 languages
  • The Father

    The Father

    Warm · grounded

    ● Father · elder

    The workhorse of choked scenes: apologies, regret, a parent finally saying sorry.

    NarratorsMale9 languages
  • Young Hero

    Young Hero

    Clear · energetic

    ● Underdog hero

    Excited and furious payoff lines, bright rather than muffled.

    YouthMale9 languages
  • Midnight Radio

    Midnight Radio

    Velvet · narrator

    ● Narrator

    Holds the scene together with calm and drops to a whisper for suspense, leaving the peaks to the cast.

    NarratorsMale9 languages
  • Cartoon Villain

    Cartoon Villain

    Over-the-top · comic

    ● Comic villain

    Over-the-top mockery for comic dramas and animated series.

    Anime & toonMale9 languages
Genre reference

Two multi-character emotional scenes: listen, then see how to tag them

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

  1. 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!

  2. Elder brother · Xu ZhaoExcited

    清妍,你……你早就知道这件事吗?

    Qingyan… did you know about this all along?

  3. 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…

  4. 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:

  5. Mother · Zhou ManChoked up

    小禾……是妈对不起你。

    He… I'm so sorry. This is my fault.

Why this tool

Why use AI Drama Voice for an emotional AI voice

  • Emotion per line, not per file

    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.

  • Reads the way writers write

    Softly, mocking, heartbroken, shocked: the words screenwriters already use map onto the eight tags, and other bracketed notes still reach the voice.

  • Emotional dialogue, many voices

    Every character has their own voice and their own emotions, so an argument actually goes back and forth.

  • Change one line, redo one line

    If a line misses, change its tag or wording and regenerate only that line. Failed lines are refunded automatically.

  • The dub keeps the acting

    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.

Big moments

Four short-drama payoffs and how to tag them

  • Semi-realistic comic: two women in red and black dresses lean close over glasses of red wine in a red-lit bar, sizing each other up

    The comeback: calm setup, cold-laugh finish

    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.

  • Romance comic: pink petals fall as a young man leans in close to a blushing girl

    The confession: tender, then a whisper

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

  • A person stands in warm orange backlight and haze inside a dark warehouse

    The underdog win: mockery first, excitement after

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

  • Family comic panel: in a sunlit garden, a man holds a red-haired woman, with a small boy in his arms

    The family reunion: few, precise tears

    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.

In depth

Emotional AI voice in practice: from one line to a whole scene

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.

One line, three tags, three different scenes

The line 'I've been waiting for you.' has no attitude of its own. The tag decides which scene it belongs to:

Same line, same voice, only the tag changes.
ScriptSounds likeFits
Adrian (tender): I've been waiting for you.Soft, with a smile in itA reunion, a romance confession
Adrian (cold laugh): I've been waiting for you.Cool, every word bitten offAn enemy at the door, a revenge opener
Adrian (whisper): I've been waiting for you.Low, right at your earA thriller, someone in the dark

The emotion curve of a comeback scene

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.

In the studio, write each line as Vanessa (sarcastic): …
BeatLineTag
SetupNarrator: At the year-end party, the big screen lit up: Project of the Year.Calm
ProvocationVanessa: Relax, Hannah. This one's got nothing to do with you. Just clap.Sarcastic
RestraintHannah: You're right. I really shouldn't get this award.Calm
TurnHannah: Because every page of the original proposal has my name on it.Cold laugh
ExplosionVanessa: That's a lie! Security!Furious
CloseChairman: No need. I read the original last month.Calm

Why not tag every line with a big emotion

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.

Foreign-language versions: the emotion follows the line

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.

Three traps to avoid

  • Bracket words are matched by containment, and the first match wins in a fixed order. (not angry, tired) contains angry, so it becomes furious; (warmly sarcastic) hits warmly first and becomes tender. If the result isn't what you meant, reword it, for example (tired, flat).
  • If the bracket runs past 20 characters, the whole row is treated as narration. Keep directions short; put long stage directions on their own narrator line or cut them.
  • Labels such as Narration, VO and Voiceover belong to the narrator. If the heroine should speak her inner thoughts in her own voice, write Lin Wan (softly): …, not Voiceover: ….

What the eight tags don't do

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.

Tips

Six tips for a more expressive emotional AI voice

  1. Tag the turns first

    Mark the three to five lines where the scene turns and leave the rest. Generate, listen to the whole episode, then fill in.

  2. Give each character a baseline

    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.

  3. Write states, not adjectives

    (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.

  4. Check the tags before you generate

    During the free analysis, confirm every line got the tag you meant, especially notes containing words like angry, warm or cold.

  5. Suspense lives in whispers

    Use whisper and a calm narrator more than furious in suspense and horror; tension comes from pulling back. See horror story voiceover.

  6. In the dub, listen for sarcasm

    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.

FAQ

Frequently asked questions

  • 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.

  • Midnight Radio
  • Ice Queen
  • The CEO
  • Sweetheart
  • Young Hero
  • Elegant Lady

Your next comeback scene, acted line by line Every line, acted.

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.

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