⚡ 간단 평가:
- 가격: Listnr starts at $19/month. Hume AI starts free, then $3.
- 다음과 같은 경우에 가장 적합합니다: Listnr for podcasts, audiobooks and voice overs. Hume AI for emotional intelligence in voice apps.
- 주요 차이점: Listnr publishes finished audio files. Hume AI is a multimodal emotion recognition platform with a voice engine attached.
- 저희가 선택한 제품: Hume AI, based on its 4.2 rating and its free entry plan.
These two tools get compared often, and that is a little odd.
Listnr is an ai voice generator built for publishing.
Hume AI is emotional ai that happens to speak.
One turns written text into finished audio content.
The other reads user emotions and answers in kind.
Picking the wrong one wastes a month of setup.
개요
This Listnr vs Hume AI comparison covers pricing, key features, output quality and fit.
저희 필진들은 두 플랫폼 모두를 직접 사용해 보는 시간을 가졌습니다.
해당 내용은 아래 '우리 팀이 발견한 사항' 섹션에 있습니다.
Everything else comes from published docs, pricing pages and G2 reviews.
Both sit inside the ai voice generation category, which is where the confusion starts.
Listnr이란 무엇인가요?
Listnr is an ai text to speech platform for creators and marketers.
It turns written text into realistic audio with over 1,000 voices.
The voices sound close to human speech rather than a robot reading.
Listnr offers coverage across 142+ languages and accents.
Voice cloning lets you build a digital twin of your own voice.
Creators reach for it when they need realistic voiceovers on a deadline.
Podcast hosting, dubbing and text to video sit in the same dashboard.
That mix is why people call Listnr AI a one-stop shop for podcasters.
Here is a walkthrough of how the platform handles a script from start to finish.
리스트 번호
Turn a blog post into a podcast episode in one sitting. Hosting and distribution are built in.
리스트 가격
Listnr sells three tiers. All of them are paid.
| 계획 | 가격 | 가장 적합한 대상 |
|---|---|---|
| 개인 | 월 19달러 | Solo creators making voice overs for YouTube videos |
| 독주 | 월 39달러 | Podcasters who need hosting plus longer scripts |
| 대행사 | 월 99달러 | Teams producing audio content for several clients |
Pricing verified September 2026.
무료 체험: Listnr runs a limited free tier for testing voices. Character caps apply and commercial rights sit on paid plans.
환불 보장: Refunds are handled case by case through support, not a published no-questions window.
📌 메모: Commercial use, voice cloning and podcast hosting all live on the paid tiers. The $19 Individual plan is the real entry point.
⚠️ 경고: Plans are metered by characters. Long audiobooks burn through an Individual quota faster than most buyers expect.
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Here is what earns Listnr a place on your shortlist:
- 방대한 음성 라이브러리: Listnr offers over 900 voices in 142 languages. That is enough different voices to cover a global audience.
- 음성 복제: Upload voice recordings and the system builds custom voices from them. You keep your own voice without booking a booth.
- Podcast hosting built in: Convert text directly into episodes and push them to Spotify and Apple Podcasts.
- Accessibility work: Teams use it for audio articles aimed at readers with visual impairments or dyslexia.
- 텍스트를 영상으로 변환: Since 2026 it builds video straight from a script, which helps social and e learning teams.
- Embeddable player: A customisable audio player drops onto any site page.
If that list matches your workload, the Individual plan is the cheapest way in.
우리 팀이 발견한 점
우리의 작가 signed up for Listnr and ran a blog archive through it for a week. Here is what stood out from that hands-on time:
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✅ 장점
- Over 900 voices across 142 languages
- Podcast hosting and distribution are included
- Voice cloning and custom pronunciations in one editor
- RESTful API and webhooks for CMS 오토메이션
❌ 단점
- Entry plan costs $19 while rivals start free
- Character limits bite on audiobook-length projects
- No emotion detection, only emotion presets you set yourself
Hume AI란 무엇인가요?
Hume AI는 음성, 얼굴 표정 및 텍스트를 통해 인간의 감정을 분석하도록 설계된 인기 있는 감정 인식 플랫폼입니다.
Its emotion recognition algorithms interpret subtle cues that people miss.
The Empathetic Voice Interface can read and respond to human emotion in real time.
Hume AI was founded by Dr. Alan Cowen, a cognitive scientist who studies feelings.
Cowen is still the CEO of Hume AI today.
Hume AI는 고객 서비스, 의료, 시장 조사 등 다양한 산업 분야에서 활용되고 있습니다.
This overview shows the voice engine and the measurement tools working together.
🏆 우승: Hume AI
Build voice ai that hears frustration and softens. Start on the free tier before you commit.
Hume AI 가격
Hume AI runs seven tiers. The ladder starts at zero.
| 계획 | 가격 | 가장 적합한 대상 |
|---|---|---|
| 무료 | $0 | Testing the voice and emotion APIs |
| 기동기 | $3 | Hobby projects and first prototypes |
| 창조자 | $14 | 독주 건축업자 shipping a small app |
| 찬성 | $70 | Production apps with steady traffic |
| 규모 | $200 | Growing products and larger call volumes |
| 사업 | $500 | Teams running emotion analysis at scale |
| 기업 | 영업 담당자에게 문의하세요. | Custom limits, 보안 review and support |
Pricing verified September 2026.
무료 체험: The Free plan works as the trial. No card is needed to generate speech or test the emotion endpoints.
환불 보장: None published. The free tier exists so you can test before paying.
📌 메모: Plan fees buy credits. Usage beyond the bundle is billed pay as you go, so heavy months cost more than the sticker price.
⚠️ 경고: Costs climb with call volume, not with seats. Model your monthly minutes before you leave the $3 Starter tier.
휴먼 AI의 주요 이점
Here is where Hume AI earns its rating:
- Multimodal signals: Hume’s ai algorithms use voice video and text together. That is real multimodal emotion recognition, not sentiment guessing.
- Live coaching: Hume AI can analyze a customer’s tone of voice during a support call or detect emotional drift mid-chat.
- Facial reading: It scores emotional indicators like smiling frowning and eyebrow movements in video frames.
- 옥타브 TTS: Voices carry emotional undertones, so replies land as personalized and empathetic interactions.
- Developer control: The Expression Measurement API tracks emotion trends across your whole user base.
- Industry validation: ~ 안에 일찍 2026 Google DeepMind licensed Hume’s emotional capabilities for its own models.
The free tier covers enough calls to test all of this before you pay.
우리 팀이 발견한 점
Our writer built a small support bot on the free tier and pushed recorded calls through the measurement endpoints. Here is what stood out:
휴먼 AI의 장점과 단점
✅ 장점
- Detects a range of emotions from voice, face and text
- Free plan and a $3 paid entry point
- EVI 3 ships ultra-low latency and personality mimicry
- Google DeepMind licensed the emotion models in early 2026
❌ 단점
- 초보자에게는 학습 곡선이 가파르다
- Primarily supports English, which limits other markets
- No podcast hosting, dubbing or publishing tools
기능 비교
Both run on artificial intelligence, but they point it at opposite jobs. Ten categories decide this one, and here is the short version first.
| 특징 | 리스트 번호 | 인간 AI |
|---|---|---|
| 시작 가격 | 월 19달러 | $0 (Free), then $3 |
| 무료 플랜 | ❌ | ✅ |
| 음성 라이브러리 크기 | ✅ 900+ voices | ❌ Smaller set |
| 언어 | ✅ 142+ | ❌ Mainly English |
| 음성 복제 | ✅ | ✅ Voice personas |
| Loading... | ❌ | ✅ |
| 팟캐스트 호스팅 | ✅ | ❌ |
| 텍스트를 영상으로 변환 | ✅ | ❌ |
| 개발자 API | ✅ | ✅ |
| 가장 적합한 대상 | Publishing audio | Emotionally aware apps |
1. 음성 라이브러리 및 언어
리스트 번호: The catalogue runs past 900 voices across 142 languages. That range is the main reason people call it the best ai voice generator for localisation work. Natural sounding voices in that many accents make it easy to create voiceovers for any market. Finding the perfect voice takes a few previews, but the shortlist is deep.
인간 AI: The library is far smaller and centred on English. Its text to speech technology trades catalogue size for expressiveness. Octave TTS aims for depth instead of breadth, so its natural sounding ai voices carry emotional weight other voice generators flatten out.
⚠️ 경고: If you publish in Spanish, Hindi or Arabic, Hume AI will block you on day one.
2. 음성 복제 및 사용자 지정 음성
리스트 번호: Upload a few clean voice recordings and it builds a digital twin of your own voice. Once the clone exists you skip manual recording entirely. Teams use the same trick to keep custom voices consistent across a series.
인간 AI: The TTS Creator Studio builds a voice persona from a written description rather than a recording. You shape emotions and speaking styles instead of copying a person. It is more design tool than clone tool.
3. Text to Speech Editing
리스트 번호: Listnr’s TTS editor helps you fix the small things that break an illusion. You can add custom pronunciations easily and drop pauses where a human voice would breathe. Those pauses change how the entire message sounds. Small fixes like that hold the listener’s attention through a long script.
인간 AI: Conversational Voice is built for live turns, not scripted edits. It can analyze tone pitch speed and pauses as the user talks and adjust its reply. There is no timeline editor to nudge a single word.
4. Emotion Detection
리스트 번호: There is none. You pick an emotional tone from a preset list and the file renders that way. It never reacts to user emotions because nothing is listening back.
인간 AI: This is the whole product. Teams point Hume AI to detect frustration or hesitation, then act on it. It weighs audio and emotional indicators together before scoring a moment. Its emotion recognition technology provides insights that feed customer experience mental health and product research work.
Emotional expressions in a call log are hard to spot by hand. Reading emotional responses at volume is where the gap between these two products stops being academic.
5. Video and Multimedia Output
리스트 번호: Since 2026 it builds video straight from a script. That covers explainer videos, training videos and narration for YouTube videos. You generate voiceovers and visuals from one script. Producing video content at scale gets much cheaper.
인간 AI: No video rendering at all. For emotionally aware video generation you would pair it with Tavus, which creates personalized videos and digital twins on top of emotion signals.
6. 개발자 API
리스트 번호: A RESTful API and webhooks push automated audio into an existing CMS. Your blog can publish audio files in any common audio format without an editor touching them.
인간 AI: The Expression Measurement API lets developers track emotion trends in user data. It suits virtual assistants and support tooling, though scalability might present challenges once call volume spikes.
7. Dubbing and Localization
리스트 번호: AI dubbing localises a course into several dialects without rebooking voice actors. Converting text once and shipping it to a global audience is the point. You convert written text a single time and let the dubbing engine handle the rest. Accessibility teams also use it for audio articles aimed at readers with visual impairments.
인간 AI: No dubbing pipeline exists. English coverage is solid and everything else is thin, which rules it out for e learning localisation.
8. Customization Controls
리스트 번호: The pitch feature uses percentage pitch controls, so you nudge a line up or down by a set amount. Speed and pause sliders sit beside it. Small moves make the difference between flat computer generated voices and realistic speech. That gap is what separates hobby output from professional voiceovers.
인간 AI: You steer with prompts and personality settings instead of sliders. That produces natural sounding speech quickly, but rerunning a line to fix one syllable is clumsy.
9. 통합 및 워크플로우
리스트 번호: It connects to the tools publishers already run and hosts the finished audio content itself. As speech software goes, it is unusually close to a full publishing stack.
인간 AI: Integration happens in your codebase. Most teams wire it to a chat stack or a speech to text transcription layer they already own.
10. 가격 및 비용
Here are both ladders side by side.
| 층 | 리스트 번호 | 인간 AI |
|---|---|---|
| 무료 | ❌ | $0 |
| 기입 | 개인 — 월 19달러 | Starter — $3 |
| 중간 | 솔로 — 월 39달러 | Creator — $14 / Pro — $70 |
| 높은 | 대행사 — 월 99달러 | Scale — $200 / Business — $500 |
| 관습 | ❌ | 기업 고객 - 영업팀에 문의 |
리스트 번호: Three flat tiers, easy to budget. The $19 entry buys a working studio, and there is no free rung to test on first.
인간 AI: Seven rungs from $0 to $500 plus a sales-led tier. Cheap to start, but usage billing means the invoice tracks traffic rather than headcount.
다양한 시나리오
| 필요하시면 | 선택하다 | 왜 |
|---|---|---|
| To ship a podcast this week | 리스트 번호 | Hosting and distribution included |
| An agent that hears frustration | 인간 AI | Only one with emotion detection |
| Narration in 30 languages | 리스트 번호 | 142개 이상의 언어 지원 |
| To start at zero cost | 인간 AI | Free plan, then $3 |
| Video from a script | 리스트 번호 | 텍스트를 비디오로 변환하는 기능 내장 |
| Emotion data for research | 인간 AI | 표현 측정 API |
💰 예산
Hume AI opens at $0 and a $3 Starter tier. Listnr asks $19 before you produce anything commercially.
🎧 Your Deliverable
If the job ends in a finished file, you want Listnr. Its voiceover audio drops straight into an episode or a timeline.
🔌 사용 중인 기술 스택
Hume AI expects you to write code around it. Listnr works fine for a marketer who never opens a terminal.
🌍 당신의 청중
Serving multiple languages rules Hume AI out today. Listnr’s ai generated voices cover 142 of them.
🎓 귀하의 경험 수준
Hume AI has a steep learning curve for beginners. Listnr gets you to a rendered track in just a few clicks.
🆓 무료 체험 및 데모
Test both before you commit a card. Voice generation time is short enough that one afternoon tells you plenty.
전환 가이드
Already on one of them? Here is what moving actually costs you.
🔄 Listnr에서 Hume AI로 전환하시나요?
✅ 얻게 될 이점:
- Detection of human emotions from voice, face and text
- A free tier and a $3 paid entry point
- Live conversation instead of pre-rendered ai voiceovers
❌ 잃게 될 것:
- 142 languages and 900+ voice options
- 팟캐스트 호스팅 및 배포
- Dubbing and text to video
📋 전환 방법:
- Download your finished audio files from Listnr first
- Open a free Hume AI account and grab an API key
- Rebuild one script as a live voice flow before cancelling
🔄 Hume AI에서 Listnr로 전환하시나요?
✅ 얻게 될 이점:
- A publishing pipeline for creating voiceovers end to end
- Voice cloning from real voice samples
- Dubbing, hosting and an embeddable player
❌ 잃게 될 것:
- Emotion measurement across voice, video and text
- 무료 플랜
- Real-time empathetic replies from EVI
📋 전환 방법:
- Export your prompts and voice persona notes from Hume AI
- Start a Listnr Individual plan and clone your reference voice
- Rerun one script and compare it against your old output
저희 리뷰에서 다루지 않은 내용
We looked at solo creators and small teams. We did not stress-test enterprise call volumes, custom Hume AI contracts, or Listnr’s Agency plan across a dozen client accounts. Accuracy of emotion scores across accents is an open question we could not measure fairly. If you are shipping to millions of users, expect your numbers to differ from ours.
최종 판결
| 범주 | 우승자 |
|---|---|
| 💰 가격 | 인간 AI |
| 🗣️ Voice Range | 리스트 번호 |
| ❤️ 감성 지능 | 인간 AI |
| 🎬 Publishing Tools | 리스트 번호 |
| 👶 사용 편의성 | 리스트 번호 |
| 🔌 Developer Depth | 인간 AI |
| 🌍 언어 지원 범위 | 리스트 번호 |
| 🏆 종합 우승 | 인간 AI |
🏆 우승: HUME AI
Hume AI takes the overall win on its 4.2 rating against 3.9, despite Listnr winning four of seven categories.
다음과 같은 경우에 가장 적합합니다: support agents, health and research tools, any product that must respond to a person’s mood
⚠️ How we broke the tie: Listnr wins more individual categories, but the overall pick follows the CSV rating (Hume AI 4.2, Listnr 3.9). If your job is publishing rather than sensing emotion, Listnr is still the right buy.
These products barely overlap. Listnr turns a script into high quality voiceovers and then publishes them for you.
You get human like voiceovers without booking a booth, and the realistic sounding voice overs hold up on a public feed.
Hume AI is ai with emotional intelligence at its centre, and speech is how it answers back.
Pick Listnr if you need great voiceovers, dubbing and hosting in one place. Pick Hume AI if your app has to notice how someone feels.
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Here is how Listnr holds up against the rest of the field:
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Listnr은 다음 부문에서 승리했습니다: built-in podcast hosting, AI dubbing, text to video output
Play.ht가 다음 부문에서 승리했습니다: 907 voices across 142 languages, sharper expressive delivery, a more generous entry tier
리스트nr vs 머프 AI
Listnr은 다음 부문에서 승리했습니다: far wider language coverage, distribution to Spotify and Apple Podcasts, cheaper per-voice breadth
Murf AI가 승리한 항목은 다음과 같습니다. tighter studio timeline, cleaner team collaboration, stronger sync between voice and slides
리스트nr vs 일레븐랩스
Listnr은 다음 부문에서 승리했습니다: hosting and publishing built in, dubbing workflow, an embeddable player for site owners
ElevenLabs가 다음 부문에서 승리했습니다: more convincing long-form narration, better clone fidelity from short samples, a free rung to start on
리스트nr vs 설명하다
Listnr은 다음 부문에서 승리했습니다: 142 language support, one-step publishing, lower cost for pure narration work
Descript는 다음에서 승리합니다: full video editing, transcript-based cutting, multi-track podcast production
인간 AI 비교
If you are hunting the best Hume AI alternative, these four come up most:
Hume AI vs Tavus
Loading... deeper emotion measurement, live voice replies, an API built for tracking trends
타부스가 승리한 순간: personalized video output, digital twin avatars, ready-made campaign templates
흄 AI vs 스피치매틱스
Loading... facial signal analysis, expressive speech output, a fuller emotional profile per user
Speechmatics가 다음 항목에서 우위를 차지했습니다. transcription accuracy, far broader language support, lower cost per audio hour
인간형 AI vs 어셈블리 AI
Loading... visual emotion analysis, real-time voice interaction, richer emotional labels
AssemblyAI가 다음 항목에서 승리했습니다: mature audio pipeline, summarisation and topic detection, simpler pricing for bulk files
Hume AI vs Replika
Loading... developer access, voice and face signals rather than text alone, production deployment
Replika는 다음에서 승리합니다: finished consumer app, long-term memory of a user, zero setup work
Shortlist a couple of these useful emotion recognition tools alongside Hume AI and explore each free tier before you sign anything.
자주 묻는 질문
Listnr 가격은 얼마인가요?
Three plans: Individual at $19/month, Solo at $39/month and Agency at $99/month. Commercial rights, cloning and hosting sit on the paid tiers.
Hume AI는 얼마인가요?
Seven tiers: Free at $0, Starter $3, Creator $14, Pro $70, Scale $200 and Business $500. Enterprise pricing is quoted by sales.
Hume AI의 CEO는 누구인가요?
Dr. Alan Cowen. He is a cognitive scientist who studies the science of emotions, and he founded the company.
Hume AI는 무엇에 사용되나요?
Reading emotion from voice, video and text. Common uses are support agents, patient care, gaming characters and market research dashboards.
가장 현실적인 AI 음성 생성기는 무엇일까요?
For scripted narration, Listnr and Play.ht produce the most realistic ai voices at this price. For live conversation, Hume AI sounds more human.
English 
Spanish 
Chinese 
German 
French 
Arabic 
Russian 
Portuguese 
Japanese 
Korean 
Italian 
Turkish 
Dutch 
Polish 
Indonesian 
Thai 
Vietnamese 