The Complete Guide to ElevenLabs v3: Master Interactive Voice Experiences with Audio Tags

<prosody rate="slow" pitch="low">I'm not sure about this</prosody>

[hesitantly][quietly] I'm not sure about this

import requests



ELEVENLABS_API_KEY = "your_api_key"

VOICE_ID = "your_voice_id"



url = f"https://api.elevenlabs.io/v1/text-to-speech/{VOICE_ID}"



headers = {

    "Accept": "audio/mpeg",

    "Content-Type": "application/json",

    "xi-api-key": ELEVENLABS_API_KEY

}



data = {

    "text": "[excited] Welcome to Eleven v3!",

    "model_id": "eleven_turbo_v2_5",  # or "eleven_multilingual_v2"

    "voice_settings": {

        "stability": 0.5,

        "similarity_boost": 0.75

    }

}



response = requests.post(url, json=data, headers=headers)

with open('output.mp3', 'wb') as f:

    f.write(response.content)

Hello, welcome to my channel.

[excited] Hello, welcome to my channel!

[excited][loudly] Hello, welcome to my channel!

WAITER: [politely] Are you ready to order?

CUSTOMER: [quietly] Yes, I'll have the salmon.

CHEF (in kitchen): [shouting] Order up! Table seven!

WAITER: [whispering to customer] Between us, the salmon is excellent today.

[nervous] I think we should turn back.

[gasp] What was that sound?

[whispers][terrified] Someone's in here with us.

[pause]

[shouting] RUN!

[tired][yawning] Ugh, is it morning already?

[pause]

[gradually more excited] Wait, it's Saturday!

[excited][loudly] PANCAKES!

MODERATOR: [American accent] Welcome, everyone. Let's hear from our panelists.



PANELIST 1: [British accent][formal] Delighted to be here. Our research shows...



PANELIST 2: [French accent] Ah, yes, but we must consider ze cultural context, no?



PANELIST 3: [Australian accent][casual] G'day! I reckon there's another angle here.



PANELIST 4: [Indian English][enthusiastic] This is fascinating! Let me add one more perspective.

NARRATOR: [narrator voice][mysterious] Our heroes entered the dimly lit tavern.



BARTENDER: [gruff voice][Irish accent] What'll it be, strangers?



WIZARD: [elderly voice][wise] I seek information, good sir.



CHILD: [childlike tone][excited] Are you a real wizard? Can you do magic?



VILLAIN: [evil scientist voice][sinister] [from corner of room] 

How... delightful. Fresh faces.

BOSS: [professionally] Team, we need to discuss quarterly results.



EMPLOYEE 1: [sarcastically] Oh goody, another meeting.



EMPLOYEE 2: [matter-of-fact] The numbers speak for themselves.



BOSS: [condescending] Perhaps you don't understand the big picture.



EMPLOYEE 1: [playfully][whispers to Employee 2] 

The big picture is I need coffee.

[cheerful] I got the job! This is amazing!

[pause]

[slightly nervous] But... it means moving across the country.

[pause]

[sorrowful] I'll have to leave everything behind.

[pause]

[resolved][calm] No. This is the right choice. It's time.

ALEX: [hopeful] Maybe we can try again?



JORDAN: [conflicted][pause] I... I don't know if that's a good idea.



ALEX: [hurt] After everything we've been through?



JORDAN: [regretful] That's exactly why. [pause] 

[resigned] We keep making the same mistakes.



ALEX: [bitter] Fine. [pause] [quietly] I guess that's it then.



JORDAN: [wistful] I'll always care about you. [pause] 

You know that, right?

[enthusiastic] This startup is going to change everything!

[6 months later]

[tired][slightly discouraged] Maybe we need to pivot...

[1 year later]

[frustrated] Nothing is working like we planned.

[pause]

[determined] But we're not giving up yet.

[2 years later]

[triumphant][excited] We did it! We actually did it!

[narrator voice][calm] Everything seemed normal that night.

[pause]

[slows down][ominous] But something was wrong.

[pause]

[quietly] The door was unlocked.

[long pause]

[suddenly loud][terrified] And she was gone.

[omniscient narrator][formal] The city slept, unaware of what was coming.



[stream of consciousness][first-person][anxious] 

Why can't I shake this feeling? Something's off. 

Everything's off.



[documentary style][matter-of-fact] 

At 3:47 AM, seismic monitors detected unusual activity.



[unreliable narrator][conspiratorial][whispers] 

They say it was an earthquake. But I know the truth.

MAYA: [starting to speak] So I was thinking we could—



TOM: [interrupting][excited] —go to that new restaurant downtown?



MAYA: [surprised] How did you—



TOM: [overlapping][laughing] —know what you were thinking?



MAYA: [laughs][playfully] You're either a mind reader or—



TOM: [cuts in][proud] —or I just know you that well.



MAYA: [affectionately][trails off] Yeah, you do...

ALEX: [frustrated] You never listen to me!



CHRIS: [defensive][interrupting] That's not fair, I—



ALEX: [overlapping][angry] See? You're doing it right now!



CHRIS: [shouting] Because you won't let me finish!



[pause][both breathing heavily]



ALEX: [calmer][regretful] I'm sorry. Let's... start over.

JAKE: [sarcastically] Oh yeah, great idea. What could go wrong?



SARAH: [playfully defensive] Hey, my ideas are—



JAKE: [interrupting][teasing] —usually disasters?



SARAH: [fake offended] I was going to say "innovative"!



JAKE: [laughs] Sure, that's one word for it.



SARAH: [overlapping][laughs too] Okay, okay, maybe some were disasters.

PERSON A: [nervous][hesitantly] There's something I need to tell you.



PERSON B: [concerned] What is it?



PERSON A: [pause][struggling] I've... [trails off]



PERSON B: [gently] Take your time.



PERSON A: [breathes][resolved] I've been in love with you for years.



PERSON B: [shocked silence]

[softly] I... I didn't know.

Why did the scarecrow win an award?

[pause]

Because he was outstanding

[brief pause]

in his field.

[pause for laughter]

[calmly] The bomb squad approached carefully.

[pause]

[quickly] Ten seconds remaining!

[rushed] Cut the red wire— no wait, the blue!

[rapid-fire] Nine, eight, seven, six—

[pause]

[slowly][relieved] It's... defused.

I didn't say you were stupid.

[emphasized] I didn't say you were stupid. (Someone else did)

I [emphasized] didn't say you were stupid. (I implied it)

I didn't [emphasized] say you were stupid. (I wrote/thought it)

I didn't say [emphasized] you were stupid. (Someone else is)

I didn't say you [emphasized] were stupid. (You are now)

I didn't say you were [emphasized] stupid. (But something else negative)

[General American] This is the standard American accent.

[New York accent] I'm walkin' here! Classic New York style.

[Southern US accent] Y'all come back now, ya hear?

[Boston accent] Park the car in Harvard Yard. Can't pahk theah!

[Midwest accent] Don't'cha know, it's pretty cold out, yah.

[California accent] Dude, that's like, totally awesome!

[Received Pronunciation] Good evening, this is the BBC.

[Cockney accent] Cor blimey, ain't that a sight!

[Scottish accent] Och aye, the noo! That's braw, laddie.

[Irish accent] Top of the mornin' to ye! Grand day, so it is.

[Welsh accent] Lovely day in the valleys, isn't it now?

[Australian accent] No worries, mate! She'll be right.

[South African accent] Howzit! Lekker day we're having, hey?

[Indian English] Actually, this is quite good, na? Very nice.

[Singaporean English] Can lah, no problem one.

[Nigerian English] Oya, let's go! We don reach!

TOUR GUIDE: [American accent] Welcome to our international food tour!



CHEF 1: [French accent][proudly] Today, I show you ze perfect soufflé!



CHEF 2: [Italian accent][passionately] No, no! Pizza is ze greatest!



CHEF 3: [Japanese accent][politely] Perhaps we can all agree food brings joy?



CHEF 4: [Mexican Spanish accent][enthusiastically] ¡Exactly! Let's celebrate together!

[conflicted][quietly][regretfully] 

I want to help you, but [pause] I just can't.

[excited][nervous][breathless] 

We did it! We actually— [gasp] I can't believe we pulled it off!



[sad][resigned][tired] 

I tried everything. [long pause] There's nothing left to do.



[playfully][sarcastically][smug] 

Oh sure, YOUR plan worked perfectly. [pause] Oh wait, no it didn't.

[Day 1]

[enthusiastic][optimistic] This project is going to be amazing!



[Week 2]

[slightly less enthusiastic] It's... coming along.



[Month 1]

[tired][somewhat discouraged] This is harder than I thought.



[Month 3]

[exhausted][frustrated] I don't know if I can finish this.



[Month 6]

[determined][resolved] I've come too far to quit now.



[Project Complete]

[triumphant][relieved][proud] I DID IT! It's finally done!

[slight hesitation] I suppose that could work.

(Vs.) [confident] That will definitely work!



[hint of sadness] I'm fine, really.

(Vs.) [cheerfully] I'm fine, really!



[barely concealed anger] That's... interesting.

(Vs.) [genuinely curious] That's interesting!

[in a library][whispers] Have you found the book yet?

[pause]

[from across room][still whispering but slightly louder] 

Over here, I think I found it!



[in a crowded restaurant][shouting over noise] 

WHAT DID YOU SAY?

[pause]

[leaning in][normal volume] Never mind, I'll tell you outside!



[on phone][slightly distorted] Can you hear me now?

[pause]

[signal improving] Is that better?

PROFESSOR CHARACTER:

[British accent][intellectual][formal tone]



Chapter 1: [professorial] Today, we examine quantum mechanics.

Chapter 5: [professorial][still British] As we discussed earlier...

Chapter 10: [professorial][excited] This next discovery is remarkable!

Conclusion: [professorial][satisfied] And that concludes our study.

SPEAKER ALONE: [thoughtful][quietly] What should I do?



SPEAKER TO FRIEND: [casual][normal volume] Dude, I need advice.



SPEAKER TO BOSS: [professionally][clearly] 

Could we schedule a meeting to discuss this?



SPEAKER TO CHILD: [gently][simply] 

Sweetie, I need to figure something out.



SPEAKER TO CROWD: [loudly][confidently][inspirational] 

Together, we will find the solution!

[narrator voice][setting tone] Chapter One: The Beginning



[character voice + accent] Character dialogue with emotion



[narrator voice][transition tag] Narrative bridge



[different character voice] Second character response



[narrator voice][descriptive] Scene description

[narrator voice][mysterious] The rain fell heavy on Baker Street that night.



[British accent][elderly voice][gravely] 

Detective, we haven't much time.



[American accent][younger][concerned] 

Tell me everything, Professor.



[narrator voice][building tension] 

The old man's hands trembled as he withdrew an envelope.



[British accent][elderly voice][urgent][whispers] 

They're watching. They're always watching.



[American accent][determined] 

Then we'll have to move quickly.



[narrator voice][dramatic] 

And so began the case that would change everything.

QUEST GIVER: [character voice] Quest introduction

PLAYER ACTION: [triggering event]

NPC REACTION: [emotional response] Dialogue with appropriate tags

ALTERNATIVE PATH: [different character state] Alternate response

MERCHANT: [cheerful][fantasy accent] 

Welcome, traveler! Finest goods in the realm!



[IF PLAYER HAS HIGH REPUTATION]

MERCHANT: [impressed][slightly awed] 

Oh! You're the hero everyone's talking about! 

[excited] Please, let me show you something special.



[IF PLAYER HAS LOW REPUTATION]

MERCHANT: [suspicious][guarded] 

I've heard about you. [pause] 

[firmly] Pay upfront, no credit.



[IF PLAYER HAGGLES]

MERCHANT: [playfully defensive] 

[laughs] Ah, a shrewd negotiator! 

[resigned] Fine, fine. You drive a hard bargain.



[IF PLAYER THREATENS]

MERCHANT: [terrified][stammers] 

P-please! I have a family! 

[desperate] Take what you want, just don't hurt anyone!



[IF PLAYER LEAVES]

MERCHANT: [calling after][friendly] 

Safe travels! Come back anytime!

[instructor persona] Introduction

[teaching tone] Content delivery

[example tone] Practical example

[quiz tone] Assessment

[encouragement tone] Motivation

[enthusiastic teacher voice] 

Welcome to Module 3: Advanced Python Programming!



[conversational][friendly] 

Now, I know what you're thinking: 

[mimicking student] "Functions? Aren't those complicated?"



[reassuring] Not at all! Let me show you.



[clear][instructional][slightly slower] 

A function is simply a reusable block of code. 

Watch how this works:



[excited][faster] 

See? You just defined your first function! 

[proud] That wasn't so hard, was it?



[challenging][motivational] 

Now here's where it gets interesting. 

Try creating a function that...



[encouraging][warm] 

Don't worry if you don't get it right away. 

[pause] Programming is all about practice.



[confident] You've got this!

HOST 1: [character personality] Opening

HOST 2: [different personality] Response

INTERACTION: [dynamic tags] Natural back-and-forth

GUEST: [guest personality] Expert contribution

CLOSING: [wrap-up tone] Conclusion

SARAH: [enthusiastic][American accent] 

Hey everyone, welcome back to Tech Talk Tuesday!



MIKE: [laid-back][slightly sarcastic] 

Where Sarah gets excited about things, and I'm... less excited.



SARAH: [playfully offended] Hey! You love tech!



MIKE: [deadpan] Do I though?



SARAH: [laughs][continues] Anyway, today we're talking AI voices!



MIKE: [interested now][picking up pace] 

Okay, THIS is actually cool.



SARAH: [see? tone] Told you!



GUEST: [professional][clear] 

Thanks for having me! The technology is fascinating.



SARAH: [curious] So how does it actually work?



GUEST: [educational tone][expert] 

Well, the model uses neural networks...



MIKE: [interrupting][joking] Translation: it's magic.



GUEST: [laughs][agreeing] Pretty much!



SARAH: [wrap-up tone][warm] 

We'll have to leave it there, but this has been amazing!



ALL: [in unison][cheerful] Thanks for listening!

GREETING: [friendly] Welcome

LISTENING: [attentive] Acknowledgment

PROCESSING: [thinking] Working state

SUCCESS: [helpful] Resolution

ERROR: [apologetic] Fallback

ASSISTANT: [friendly][warm] Hi there! How can I help you today?



USER: Check my calendar for tomorrow.



ASSISTANT: [attentive][professional] 

Sure, let me pull that up for you.

[brief pause]

[helpful] Tomorrow you have three meetings:



[clearly][listing] 

Team standup at 9 AM,

client call at 2 PM,

and dinner reservation at 7.



[conversational] Anything else you need?



USER: Cancel the 2 PM call.



ASSISTANT: [confirming][careful] 

Just to confirm, you want to cancel 

the client call at 2 PM tomorrow?



USER: Yes.



ASSISTANT: [acknowledging] 

Done! [pause] 

[helpful] I've sent cancellation notices to all attendees.



[thoughtful] Would you like me to suggest a new time?



USER: No, that's all.



ASSISTANT: [cheerful] 

Perfect! Have a great day!

[professional introduction] Course opening

[scenario setup] Real-world example

[dialogue demonstration] Good/bad examples

[reflection prompt] Learning check

[professional closing] Takeaway

NARRATOR: [professional][clear] 

Welcome to Communication Excellence Training.



[scenario tone][conversational] 

Let's examine two approaches to the same situation.



[setting scene] A customer calls with a complaint.



BAD EXAMPLE:

AGENT: [bored][monotone] Yeah, what's the problem?

CUSTOMER: [frustrated] I've been on hold for 30 minutes!

AGENT: [dismissive] That's normal. [pause] Anything else?



[narrator interrupting][teaching tone] 

Notice the lack of empathy? Let's try again.



GOOD EXAMPLE:

AGENT: [warm][professional] 

Thank you for calling. I'm sorry about your wait time.

CUSTOMER: [still frustrated] I've been on hold forever!

AGENT: [empathetic][understanding] 

I completely understand your frustration. 

[reassuring] Let me personally make sure we resolve this quickly.

CUSTOMER: [softening] Thank you.



NARRATOR: [educational][clear] 

See the difference? [pause] 

Tone and empathy transform customer experience.



[motivational] Now let's practice with real scenarios.

[HOOK: attention-grabbing] Opening

[PROBLEM: relatable] Pain point

[SOLUTION: exciting] Product introduction

[BENEFITS: enthusiastic] Feature highlights

[CTA: urgent] Call to action

[energetic][fast-paced] 

Tired of boring, robotic voice overs?



[frustrated character voice] 

"Your call is important to us..." 

[sarcastic][deadpan] Sure it is.



[transition to excited] 

But what if your audio could actually PERFORM?



[enthusiastic][building momentum] 

Introducing ElevenLabs v3: 

voices that laugh, whisper, shout, and captivate!



[showcasing features][varied emotions]

[excited] Product announcements that POP!

[dramatic] Stories that grip your audience!

[sarcastic] Comedy that actually lands!

[mysterious] Mysteries that keep them guessing!



[urgent][call to action] 

Transform your content today— 

[whispers conspiratorially] your audience will thank you.



[confident][memorable] 

ElevenLabs v3. Audio that performs.

  ❌ [excited][happy][enthusiastic][energetic][loud][fast] Hi there!

  ✅ [excited][loudly] Hi there!

  ❌ [whispering][shouting] Listen to me!

  ✅ [urgent whisper] Listen to me!

  ❌ [français accent] Bonjour!

  ✅ [French accent] Bonjour!

[narrator voice] The ancient temple loomed before them. 

[pause] 

[character voice][awed][whispers] It's magnificent.

[different character][nervous] And dangerous.

[narrator voice][building tension] Little did they know...

# Audiobook

voice_settings = {

    "stability": 0.5,

    "similarity_boost": 0.75,

    "style": 0.0  # Natural storytelling

}



# Character performance

voice_settings = {

    "stability": 0.4,

    "similarity_boost": 0.8,

    "style": 0.4  # More dramatic

}



# Professional/corporate

voice_settings = {

    "stability": 0.6,

    "similarity_boost": 0.75,

    "style": 0.0  # Understated

}

   ❌ Using PVC (not yet optimized)

   ✅ Switch to IVC or designed voice

   ❌ Using v2/v2.5

   ✅ Confirm "Eleven v3" is selected

   ❌ [extremely incredibly super excited happy joyful]

   ✅ [very excited]

   ❌ [dramatic] The end.

   ✅ [dramatic pause][gravely] And so... it ends.

   ❌ [excited] This [happy] is [enthusiastic] great! [joyful]

   ✅ [excited] This is great!

   ❌ [EXTREMELY LOUDLY SHOUTING]

   ✅ [raised voice][urgently]

   ❌ Hi there welcome to my channel thanks for watching!

   ✅ Hi there! [brief pause] Welcome to my channel. 

       [pause] Thanks for watching!

   CHARACTER 1: [American accent][young][energetic]

   CHARACTER 2: [British accent][elderly][wise]

   CHARACTER 3: [Australian accent][middle-aged][sarcastic]

   HERO: [confident][American accent] ALL dialogue

   VILLAIN: [menacing][British accent] ALL dialogue

   SIDEKICK: [nervous][Irish accent] ALL dialogue

   OPTIMIST: [cheerful] baseline, occasional [excited]

   PESSIMIST: [resigned] baseline, occasional [frustrated]

   # Save these exact settings for consistency

   consistent_settings = {

       "stability": 0.5,

       "similarity_boost": 0.75,

       "seed": 12345  # If available

   }

   ❌ This is important.

   ✅ [emphasized][clearly] This is important.

   [continued from previous chapter][maintaining narrator voice]

   As we discussed before...

   ❌ Character name: Siobhan

   ✅ Character name: Shiv-on (spelled: Siobhan)

   ❌ electroencephalogram

   ✅ electro-encephalo-gram

   Dr. Nguyen [NU-YIN] arrived early.

   ❌ [sad] I'm leaving.

   ✅ [regretfully][with finality] I'm leaving.

   ❌ [happy] We won!

   ✅ [triumphant][exhausted but elated] We won!

   ❌ [nervous] Everything's fine.

   ✅ [forced cheerfulness][underlying anxiety] Everything's fine.

import requests

import json



def generate_v3_speech(text, voice_id, api_key):

    """

    Generate speech using Eleven v3 with audio tags

    """

    url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}"



    headers = {

        "Accept": "audio/mpeg",

        "Content-Type": "application/json",

        "xi-api-key": api_key

    }



    data = {

        "text": text,

        "model_id": "eleven_turbo_v2_5",  # v3 uses this model ID

        "voice_settings": {

            "stability": 0.5,

            "similarity_boost": 0.75,

            "style": 0.0,

            "use_speaker_boost": True

        }

    }



    response = requests.post(url, json=data, headers=headers)



    if response.status_code == 200:

        return response.content

    else:

        raise Exception(f"API Error: {response.status_code} - {response.text}")



# Usage

api_key = "YOUR_API_KEY"

voice_id = "YOUR_VOICE_ID"



script = """

[narrator voice][mysterious] Chapter One: The Discovery



[excited][British accent] Professor! You need to see this!



[calmly][American accent][elderly] What is it, my dear?



[breathless][British accent] The artifact... it's glowing!

"""



audio = generate_v3_speech(script, voice_id, api_key)



with open("chapter_one.mp3", "wb") as f:

    f.write(audio)

def generate_multi_character_scene(scene_script, character_voices, api_key):

    """

    Generate scene with different voices for each character



    scene_script: dict with character as key, lines as values

    character_voices: dict mapping characters to voice_ids

    """

    audio_segments = []



    for character, lines in scene_script.items():

        voice_id = character_voices[character]



        # Add character-specific tags

        tagged_lines = f"[{character} voice]{lines}"



        audio = generate_v3_speech(tagged_lines, voice_id, api_key)

        audio_segments.append(audio)



    return audio_segments



# Usage

scene = {

    "NARRATOR": "[narrator voice][dramatic] The showdown begins.",

    "HERO": "[American accent][confident] This ends now.",

    "VILLAIN": "[British accent][menacing] [evil laugh] Does it?",

}



voices = {

    "NARRATOR": "narrator_voice_id",

    "HERO": "hero_voice_id",

    "VILLAIN": "villain_voice_id"

}



segments = generate_multi_character_scene(scene, voices, api_key)

import requests



def stream_v3_audio(text, voice_id, api_key):

    """

    Stream audio in real-time for interactive applications

    """

    url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}/stream"



    headers = {

        "Accept": "audio/mpeg",

        "Content-Type": "application/json",

        "xi-api-key": api_key

    }



    data = {

        "text": text,

        "model_id": "eleven_turbo_v2_5",

        "voice_settings": {

            "stability": 0.5,

            "similarity_boost": 0.75

        }

    }



    response = requests.post(url, json=data, headers=headers, stream=True)



    for chunk in response.iter_content(chunk_size=1024):

        if chunk:

            yield chunk



# Usage for voice assistant

user_query = "What's the weather?"

assistant_response = "[friendly] The weather today is sunny with a high of 75 degrees!"



for audio_chunk in stream_v3_audio(assistant_response, voice_id, api_key):

    # Play audio chunk in real-time

    play_audio(audio_chunk)

import concurrent.futures



def process_script_batch(script_segments, voice_id, api_key, max_workers=5):

    """

    Process multiple script segments concurrently

    """

    results = []



    with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:

        future_to_segment = {

            executor.submit(generate_v3_speech, segment, voice_id, api_key): i 

            for i, segment in enumerate(script_segments)

        }



        for future in concurrent.futures.as_completed(future_to_segment):

            segment_index = future_to_segment[future]

            try:

                audio_data = future.result()

                results.append((segment_index, audio_data))

            except Exception as exc:

                print(f"Segment {segment_index} generated an exception: {exc}")



    # Sort by original order

    results.sort(key=lambda x: x[0])

    return [audio for _, audio in results]



# Usage

audiobook_chapters = [

    "[narrator voice] Chapter 1: [pause] The Beginning...",

    "[narrator voice] Chapter 2: [pause] The Middle...",

    "[narrator voice] Chapter 3: [pause] The End..."

]



chapter_audios = process_script_batch(audiobook_chapters, voice_id, api_key)

npc_database = {

    "blacksmith": {

        "voice_tags": "[gruff][Scottish accent][working-class]",

        "friendly": "[cheerful] Looking for quality steel?",

        "hostile": "[annoyed] Beat it, I'm busy.",

    },

    "wizard": {

        "voice_tags": "[elderly][wise][British accent]",

        "friendly": "[warmly] Ah, a seeker of knowledge!",

        "hostile": "[dismissive] I've no time for fools.",

    }

}

[narrator voice][epic tone] The dragon's roar shook the mountains.



[young hero][American accent][terrified] We should run!



[old mentor][British accent][calm] [pause] No. We stand and fight.



[narrator voice][building tension] Steel met scales, and the battle began.

[professional narrator] Let's examine workplace communication.



[scenario setup][conversational] Imagine this situation:



BAD: [unprofessional employee][dismissive] Whatever, I'll do it later.

GOOD: [professional employee][helpful] I understand. Let me prioritize that.



[educational tone] Notice the difference?

   # my_project_tags.md

   ## Character Voices

   - HERO: [American accent][confident][25-30 years old]

   - VILLAIN: [British accent][menacing][40-45 years old]



   ## Emotional States

   - Triumph: [victorious][exhausted but elated]

   - Defeat: [resigned][quietly] with [long pause]

   scripts/

   ├── v3_alpha/

   │   ├── chapter_01.txt

   │   └── working_tags.json

   ├── v3_beta/  (when available)

   └── production/

   variations = [

       "[excited] Great news!",

       "[enthusiastic] Great news!",

       "[thrilled] Great news!",

   ]



   for i, text in enumerate(variations):

       audio = generate_v3_speech(text, voice_id, api_key)

       save_audio(f"test_{i}.mp3", audio)