Acapela Group is a long-established speech synthesis technology company in Europe, providing TTS solutions covering dozens of languages. Its products cover standard speech synthesis, customized voice creation and enterprise-level APIs.

AcapelaGroup

Tool introduction

Acapela Group is an evergreen tree in the global speech synthesis (TTS) field. It was established in 2003 by the merger of three European speech technology companies - Babel Technologies of Belgium, Elan Speech of France and Infovox of Sweden - and is headquartered in France. Acquired by global assistive communications giant Tobii Dynavox in 2022, it now operates as an independent subsidiary. The CEO is Remy Cadic.

A brief comment: It is not another AI voice demo site, but the oldest and most enterprise-level multi-language TTS infrastructure provider in Europe, covering full-scenario speech synthesis from embedded chips to cloud APIs.

Core positioning: Provide multi-lingual, highly natural text-to-speech solutions for enterprise customers. The product line covers standard TTS sound libraries, customized brand voice creation (Voice Factory), personal voice cloning (My-Own-Voice), cloud API (Acapela Cloud) and full-platform embedded SDK. As of 2026, Acapela has 250+ voices, covering 30+ languages, including English (including American, British, Australian, Indian, Canadian, Middle Eastern and other accents), French, German, Spanish, Italian, Portuguese, Chinese (Mandarin), Japanese, Korean, Arabic, Russian, Hindi, etc., as well as niche languages ​​such as Faroese and Sami.

Market authenticity verification: Acapela is not a "new player in the AI ​​boom". The customer matrix displayed on its official website includes well-known companies such as Deutsche Bahn (German Railways), BVG (Berlin Bus), Trafikverket (Swedish Transport Authority), Transport for London (London Underground), BNP Paribas, Crédit Agricole, Accor, SFR, FedEx, Softbank, etc., as well as auxiliary communication software manufacturers such as Tobii Dynavox, Assistiveware, and Crick Software. These publicly verifiable cases show that its products have been implemented in fields such as transportation, finance, and customer service.

Core functions

• Acapela Cloud (Cloud API): Online TTS service based on RESTful API, supporting real-time streaming synthesis and batch audio production. Convert text to speech stream with just a few lines of code, compatible with W3C standards, and supports 24/7 real-time synthesis. Provides a web management interface to manage voice prompt files by project. (Source: acapela-group.com/solutions/acapela-cloud/)

• Full Platform Embedded SDK: Covers almost all mainstream platforms such as Windows, Linux, macOS, iOS, Android, UWP (Windows Universal Platform), and Linux Embedded. It supports offline operation and can complete speech synthesis on the device side without the need for a network. It is suitable for scenarios that are sensitive to delay and data security, such as vehicle navigation, embedded devices, and military communications.

• Acapela Voice Factory (voice brand customization): Create a unique and exclusive brand voice for enterprises. The process includes: audition and casting → audio text production → audio recording → speech model training based on DNN (deep neural network) → delivery. Well-known examples include Deutsche Bahn’s platform announcement sound, BVG’s Philippa Voice, Trafikverket’s commuter navigation sound, and the London Underground’s customized sounds. Clients also include BNP Paribas, Accor, Softbank and others. (Source: acapela-group.com/solutions/acapela-voice-factory/)

• My-Own-Voice: Provides voice banking services to people who may lose their voice due to diseases such as ALS (amyotrophic lateral sclerosis). The user records 50 sentences through the web, and the system creates a digital sound copy based on DNN technology. Initial creation is free, and for a fee you can export for use with Windows SAPI, Android Google TTS API, or third-party AAC applications. A USB key version, launching in January 2026, will store sounds on a physical device for enhanced privacy. (Source: acapela-group.com/solutions/my-own-voice/)

• Vocal Smileys and Emotional Expression: Embed "vocal emoticons" in speech to support emotional modes such as happiness, sadness, distance, and closeness, making synthesized speech no longer monotonous, and significantly improving immersion in scenarios such as customer interaction and audiobooks.

• Voice Tuning: Allows developers to fine-grainedly adjust parameters such as speech speed, pitch, pauses, and accents to accurately control the output effect to meet brand consistency and specific scene needs.

• Children's Voice Library: Acapela is one of the few manufacturers in the world that specializes in providing children's TTS sounds, covering children's voices in English (American/British), French, German, Italian, Norwegian, Swedish, Dutch, Polish and other languages, serving educational apps, assistive communication and smart toy scenarios.

• Acapela V14 engine (released in 2025): a new generation of AI speech synthesis engine, focusing on supernatural sound quality, resource efficiency, and privacy compliance. It supports three deployment modes: device/local/cloud, which reduces computing resource consumption while achieving highly realistic rhythm and pronunciation. (Source: acapela-group.com/news/acapela-group-unveils-v14/)

Expert perspective (hidden linkage): Acapela's core synergy lies in the "sound asset reuse" between its product lines. Custom voices created by enterprises through Voice Factory can be deployed simultaneously to Cloud API (online channels), embedded SDK (offline devices), and My-Own-Voice (individual scenarios) - a single set of voice assets covering all touch points, rather than training models separately for each channel. This ability of "one-time customization and omni-channel distribution" is extremely valuable among international enterprises and public service organizations.

Pricing strategy

Acapela Group uses a private, customized pricing model, in contrast to pay-as-you-go APIs for individual developers (such as ElevenLabs, Azure TTS).

Product Line	Pricing Model	Price Level	Suitable for Users
Acapela Cloud API	Negotiate based on traffic/call volume	Unpublished, subject to official quotation	Medium and large enterprises, high-frequency synthesis needs
Embedded SDK	Buyout based on platform/license or annual fee	Undisclosed, subject to official quotation	OEM manufacturers, equipment manufacturers
Voice Factory (customized voice)	Project system, including recording + training + authorization	Undisclosed, usually starting from tens of thousands of euros	Brand companies, government agencies
My-Own-Voice	Free for initial creation, paid for export	Free recording of 50 sentences + charge per application	Individual users (ALS/aphasia patients)
Virtual Speaker (desktop audio production)	License buyout	Undisclosed	Professional audio production agency

The free truth: Acapela’s official website provides a free online sound trial experience (demo), but full synthesis functions, commercial licensing and API calls require payment. My-Own-Voice's "free creation" is only limited to online trial use. If you need to use exported sounds on platforms such as Windows SAPI or Android, you need to pay a licensing fee. This is different from ElevenLabs' model of providing free quotas. Acapela does not have a public free API quota.

Enterprise Cost Analysis: For medium and large enterprises, the key cost items are not single composite expenses, but:

1. Initial investment for customized sounds: Including professional recording studio recording (or remote guidance recording), DNN model training and tuning marked by phonetics experts, usually taking 4-12 weeks and starting from tens of thousands of euros.
2. SDK licensing fee: Calculated based on platform and deployment quantity. Compared with competing products (such as Microsoft TTS, Amazon Polly), Acapela has certain room for negotiation in terms of cross-platform offline licensing.
3. Opportunity cost: Acapela's private deployment (on-premise) avoids the continuous traffic costs of public cloud APIs. After the average daily synthesis volume exceeds a certain threshold, the marginal cost is better than the pure cloud solution.

Three-tier cost structure:

• C-side (individual users): Only the free trial of My-Own-Voice is available, full functionality requires the purchase of an in-app license, and the price is usually $50-150/voice.
• Developers (API users): There is no public self-service pricing panel, you need to contact sales to get a quote, suitable for enterprises with clear budgets rather than individual developers.
• Enterprise Customers: Large customers usually sign an annual framework agreement, which includes a certain number of API call quotas + SDK authorization + custom sound project packaging.

Advantages and Disadvantages Analysis

Advantages

• Language coverage breadth and depth: 30+ languages, most languages offer multiple accents and gender options, and include special categories such as children's voices, emotional voices, etc. Arabic TTS has 99% diacritizer annotation accuracy. (Source: acapela-group.com/news/arabic-acapelas-ai-voice-leila/)
• Offline and embedded capabilities: Support offline synthesis in the full-platform SDK. This is a differentiated capability that many pure cloud TTS providers cannot provide. It is crucial for scenarios such as automotive, transportation, military industry, and medical care.
• 30 years of industry accumulation: Since its establishment in 2003, it has continued to cultivate TTS, accumulated a large amount of speech database and linguistic knowledge, and has deep barriers in the phonetic quality and cultural adaptability of customized sounds.
• Privacy and Compliance Architecture: The V14 engine takes data origin, speaker protection and copyright compliance as core design principles, supports private deployment (on-premise) and sovereign cloud (Cloud Sovereign), and meets the most stringent data compliance requirements of the EU GDPR.
• Assistant Communication (AAC) ecological integration: Through the deep integration of My-Own-Voice with AAC manufacturers such as Tobii Dynavox and Assistiveware, it has an irreplaceable position in the market for people with hearing impairments.

Disadvantages

• Pricing is not transparent: There is no public self-service pricing page, individual developers and small teams cannot quickly evaluate costs, and the trial and error threshold is higher than competing products such as ElevenLabs and Azure TTS.
• Low level of self-service: There is no online instant API trial similar to Playground (only voice trial), and the registration process requires sales intervention, which reduces the conversion rate of long-tail users.
• Insufficient brand voice: Compared with emerging competitors such as OpenAI TTS and ElevenLabs, Acapela has a smaller voice in social media and developer communities, and its tutorial resources in Chinese and English are limited.
• Weak individual user solutions: The product matrix is ​​completely biased towards enterprise customers, and individual creators can hardly find suitable self-service solutions.
• AI innovation pace is more traditional: Although the V14 engine will be launched in 2025, there is still a certain distance compared with the new generation of TTS manufacturers such as ElevenLabs in terms of "immediacy of voice cloning" and "emotional diversity of AI voice".

Acapela Group vs major competitors comparison

Comparison Dimensions	Acapela Group	ElevenLabs	Microsoft Azure TTS	Amazon Polly
Founded	2003	2022	2018 (TTS Services)	2016
Language coverage	30+ languages, 250+ voices	29 languages, ~100 voices	140+ languages/regions	60+ languages/regions
Offline SDK	✅ All platforms offline	❌ Online only	⚠️ Limited offline	❌ Online only
Customized Voice	✅ Voice Factory	✅ Voice Clone	✅ Custom Neural Voice	✅ Brand Voice
Voice Cloning (Personal)	✅ My-Own-Voice	✅ Professional Cloning	❌	❌
Children's voices	✅ Covering multiple languages	❌	✅ Some languages	❌
Open pricing	❌ Negotiable	✅ Starting from $5/month	✅ Pay per character	✅ Pay per character
Private deployment	✅ Full on-premise	❌ Cloud only	✅ Partial support	✅ Partial support
Assistive Communication (AAC)	✅ Deep Integration	❌	❌	❌

Applicable scenarios

• Public Transportation Voice System: Automatic announcements, arrival/departure notifications, and transfer guidance at train stations/airports/subway stations. Acapela has a very high density of customers in this area - Deutsche Bahn, BVG (Berlin Buses), Trafikverket (Sweden), TfL (London Underground) all use Acapela's custom sounds. Dimensionality reduction attack scenario: In a transnational transportation hub that needs to cover 5+ languages, Acapela's single-engine unified deployment capability significantly reduces integration complexity.

• Vehicle Voice Navigation and HMI: Vehicle built-in navigation prompts, driving assistance voice, and vehicle status broadcast. The offline SDK supports maintaining high-quality output in a non-network environment, and the Trucker Path case (May 2026) proves its value in commercial vehicle navigation scenarios.

• Assistive Communication and Accessibility: The core speech output of AAC (Assistive and Alternative Communication) devices enables speech-impaired ALS patients and autistic children to "speak" through the device. My-Own-Voice captures individual voices to avoid loss of identity and has irreplaceable social value in this scenario.

• Enterprise IVR and Customer Service: Automated voice response, voice bots, customer notifications for call centers. Multi-national call centers benefit from Acapela’s compatibility with leading CCaaS platforms such as Genesys, as well as multi-language voice consistency.

• Education and Online Reading: Pronunciation demonstrations in language learning apps, e-book readings, and auxiliary tools for students with dyslexia. Children's sound libraries are particularly useful in this scenario.

• Digital Signage and Public Broadcasting: Multi-language automatic broadcast of shopping malls, museums (such as the audio guide of the Museum of Modern Art in the official website demo), exhibitions and other scenes, and rapid content update through Cloud API.

Summarize

Acapela Group is the "Swiss Army Knife" of the enterprise-level TTS market - it does not pursue the ultimate single-point innovation, but provides the most complete solution covering the breadth of languages, deployment methods and industry scenarios. Its 30 years of accumulated sound database, linguistic knowledge and customer trust have built a deep moat in traditional industries such as transportation, accessibility, and finance.

However, this "comprehensive but not extreme" positioning also puts it in a catching-up position in terms of brand volume, developer experience and emotional expressiveness when facing the new generation of AI TTS manufacturers such as ElevenLabs. For enterprise customers who require offline deployment, multi-language consistency and voice brand customization, Acapela is one of the safest choices; for individual developers or start-up teams who pursue fast iteration, low cost threshold and rich API ecosystem, it is recommended to prioritize publicly priced services such as Azure TTS or ElevenLabs.

Efficiency improvement comparison

The following deduction is based on Acapela's public cases and common industry indicators, and is marked as a "deduction" rather than an official commitment.

Position/Task	Traditional method (manual recording)	Using Acapela TTS	Efficiency improvement	Description
Transportation hub voice broadcast (new lines/extensions)	Recorded in the recording studio, each update takes 3-5 days	Generated through the Voice Factory API, 15 minutes	96-99% time reduction	Once the customized voice training is completed, subsequent content iterations are completely completed automatically by the system
Customer service IVR prompts (multinational enterprise, 5 languages)	Hire native voice actors for each language, about 2 weeks/language, 10 weeks in total	After the single voice model is deployed, 5 languages are generated in parallel, 2 days	~96% time reduction	The deduction is based on Acapela's single-engine multi-language synchronization support capability
AAC patient voice acquisition	Traditional recording requires hundreds of sentences + professional recording studio, which takes several weeks	My-Own-Voice records 50 sentences, completed online, about 1-2 hours	~95% time reduction	Source: acapela-group.com/solutions/my-own-voice/
Vehicle navigation prompt update (national routes)	Each route adjustment requires large-scale manual re-recording	SDK-side automated synthesis, TTS engine direct pronunciation	Nearly 100% automation	SDK offline synthesis, no network intervention required
Mass production of multi-language audio content	Hire voice actors for each language, 1 episode/day/language	Batch script + Cloud API, 10 language versions completed in 1 hour	~95% time reduction	Deduction: excluding post-production manual review time

Automation Boundary

According to Acapela’s product system, the degree of automation of its TTS has clear boundaries in different sections:

100% AUTOMATED WITH JUSTICE:

• Real-time/batch conversion of text to speech: Completely hands-free text input to speech output via Cloud API or embedded SDK.
• Synchronous generation of multi-language versions: For the same text input, sound models in different languages ​​are automatically called for parallel output.
• Parametric Voice Control: Based on Voice Tuning, parameter adjustments such as speaking speed, pitch, pause, etc. can be preset to be automatically executed in the system.

Some sections that require manual participation:

• Initial training for customized sounds: Voice Factory requires recorders/phoneticians to participate in recording guidance, annotation and quality inspection, which cannot be completed purely by yourself.
• Emotional Calibration of Voice Cloning: Although the digital sound generated by My-Own-Voice retains the timbre, the naturalness of emotional expression still requires manual evaluation and adjustment.
• Content Review of High Compliance Texts: In highly regulated industries such as financial services and medical care, the generated speech still needs to be reviewed item by item by compliance personnel.
• "Role Confirmation" of Brand Voice: The Voice Factory casting stage requires the brand to participate in listening and voting decisions, which cannot be automatically replaced by AI.

Human-in-the-loop design: In Acapela's plan, customized sound projects naturally include "manual confirmation points" (casting confirmation → recording quality inspection → model acceptance → mass production), which is both a cost source and a quality assurance mechanism.

Security and Compliance

• GDPR Compliance: Acapela is headquartered in France and is directly governed by the EU GDPR. Data storage and processing are by default compliant with European privacy regulations. The collection, processing and storage of voice data involved in Voice Factory and My-Own-Voice comply with the GDPR's "data minimization" and "purpose limitation" principles.

• Data Source and Copyright Protection: V14 Engine clearly states that data collection, speaker protection and copyright compliance are the highest priority and are strictly monitored and enforced. The voice training data is only from authorized recordings and does not use unlicensed web scraped data.

• Private deployment options: Supports on-premise deployment and Cloud Sovereign (sovereign cloud), so that neither voice data nor text content leaves the enterprise's own infrastructure. This is critical for customers in sensitive industries such as government agencies, defense, and financial institutions.

• ISO Certification: Acapela has been ISO certified since 2008 (source: company timeline) and the quality management system is governed by international standards.

• Privacy measures for voice preservation: The USB key version of My-Own-Voice (released in January 2026) stores the voice model on the physical USB device without any cloud transmission, providing a hardware-level isolation solution for voice biometric data.

• Compliance Risk Warning: Acapela's terms expressly prohibit users from using their synthesized voices to commit fraud, impersonation, harassment or any illegal activity. Corporate customers should note: Although there are no direct barriers to copyright registration for synthesized speech, unauthorized imitation of other people's voices may face portrait/voice rights lawsuits (especially in some states of the EU and US).

Integrated Ecosystem

Acapela's integration ecosystem is based on the dual core of device SDK and cloud API, supplemented by ready-made plug-ins for specific platforms:

SDK Platform Coverage (Source: acapela-group.com/solutions/):

• Windows/Windows Server (C++, .NET)
• Linux / Linux Server (C, C++)
• macOS/iOS (Swift, Objective-C)
• Android (Java, Kotlin)
• UWP (Windows Universal Platform)
• Linux Embedded (ARM architecture)

Cloud API Features:

• RESTful API, supports HTTP/HTTPS
• Real-time streaming composition (streaming)
• Compatible with W3C Web Speech standard
• Support SSML (Speech Synthesis Markup Language) tags

Third Party Platform Integration:

• Genesys: Acapela provides voice support for the Genesys customer service platform
• NVDA Screen Reader: Acapela TTS Voices for NVDA plug-in
• Google Play: Acapela TTS Voices available as TTS engine for Android
• Chromebook: Acapela Voices for Chromebooks
• Tobii Dynavox Ecosystem: Deeply integrated with Tobii Dynavox’s AAC hardware and software as a member of the same group
• SAPI (Windows Speech API): My-Own-Voice exports sounds compatible with Windows SAPI5

Developer Resources:

• Provide SDK documentation and sample code for each platform
• Supports SSML fine control
• Custom Lexicon Editor: Ensure correct pronunciation of proper nouns and brand names

Ecological limitations: Compared with AWS Polly's deep binding to the cloud ecosystem (Lambda, CloudFormation, S3 integration), Acapela's ecosystem is more biased towards an "independent, closed, high-performance" embedded path and lacks rich community plug-ins and open source packaging.

Implementation suggestions

Applicable team selection suggestions

• Large enterprises (1000+ people): If the business involves voice interaction in more than 3 languages and requires offline deployment or on-premise, Acapela is the preferred candidate. Suggestion: apply for a voice audition first, select 2-3 candidate voices to complete an internal POC (proof of concept), and then enter business negotiations. ROI on Voice Factory custom voices typically pays for itself within 12-18 months (vs. ongoing investment in external recording).

• Small and medium-sized enterprises (50-1000 people): If online voice is the main focus (such as customer service IVR), it is recommended to first compare the cost and voice quality of Azure TTS and Acapela Cloud API. Acapela's "one-time customization, omni-channel reuse" model has obvious advantages in high-frequency updated voice scenarios.

• Individual developers/start-up teams: Unless there are clear offline deployment requirements or auxiliary communication scenarios, Acapela's high negotiation threshold and lack of public API quota make it unsuitable for rapid prototyping verification. It is recommended to give priority to using ElevenLabs or Azure TTS for MVP development.

Deployment and implementation suggestions

• Voice Asset Strategy: It is recommended to complete Voice Factory's customized voice training at the beginning of the project, rather than using standard voices first and then replacing them. The brand premium of custom sound is much more valuable in terms of customer experience than re-recording at a later stage.

• SDK integration priority: Embedded devices (vehicle IoT) give priority to using offline SDK to reduce network dependence; scenarios such as online customer service give priority to using Cloud API to reduce local operation and maintenance costs.

• Multi-Language Synchronization Plan: Acapela's single-engine synchronization of multiple languages ​​means language extensions with virtually no additional development costs. It is recommended that language coverage be included in the mid-term planning of the roadmap instead of adding it one by one after a single language matures.

• Budget Planning: The bulk of the initial investment is customized voice training (one-time), and the ongoing operating costs are mainly API calls/SDK authorization maintenance fees. For scenarios where the average daily synthesis volume is stable, the TCO of on-premise deployment is usually lower than that of pure cloud solutions after 2-3 years.

Procurement Risk Assessment

1. Vendor lock-in risk: The voice model trained by Voice Factory is Acapela’s proprietary format, and once adopted, switching vendors will mean re-recording and training. It is recommended that data portability clauses be made clear in the contract and that ownership of the original recording files be retained.
2. Cost Unpredictability: No public pricing means that the purchaser needs to have an accurate estimate of usage, otherwise it may face price adjustments when renewing the contract. It is recommended to sign an agreement that includes a tiered price for the call volume and an annual increase cap.
3. Technology Evolution Rhythm: Acapela’s release cycle is an annual version. If there is an urgent need for cutting-edge AI voice capabilities (such as real-time emotion adaptation, zero-sample voice cloning), Acapela's iteration pace may be faster than traditional TTS but slower than pure AI vendors such as ElevenLabs.
4. Geographical limitations: Acapela is stronger than European and Western languages. Chinese voices are only in Mandarin (Lulu, etc.). There may be coverage gaps for regional needs such as Chinese dialects and Cantonese, which need to be confirmed in advance.

Main functions of Acapela Group

• Core Processing Capabilities: Provides core AI capabilities in relevant scenarios to support users to quickly complete tasks.
• Multi-modal interaction: supports text input and result output, and some scenes support image or file upload.
• Workflow Integration: Can be embedded into existing workflows or linked with other tools through APIs to reduce context switching.

Application scenarios of Acapela Group

• Personal Creation: Quickly generate or process content to improve daily work efficiency.
• Team collaboration: Unify workflow and reduce repetitive manpower investment.
• Enterprise-grade deployment: Embed capabilities into on-premises systems via API or private deployment.

Acapela Group’s applicable groups

• Individual Users: Content creators and knowledge workers who need AI assistance to improve their daily work efficiency.
• Developers: Technical teams who need to integrate AI capabilities into their own products or services through APIs.
• Enterprise: Organizations seeking to deploy AI at scale in their field.

Acapela Group’s technical advantages

• Algorithm Optimization: Special optimization at the model or algorithm level has been carried out for the corresponding scenario to achieve a balance between response speed and result quality.
• Low-latency architecture: Adopts streaming or asynchronous processing architecture to reduce user waiting time and is suitable for high-frequency interaction scenarios.

Acapela Group’s core parameters and statistics

Specific technical parameters (such as model size, context length, supported file formats, input and output restrictions, etc.) are subject to the official product page. It is recommended that users verify the latest technical specifications and system requirements before choosing to ensure that they match their own usage scenarios.

User and market recognition of Acapela Group

Gradually build user awareness in the field, and product capabilities are used by content creators and teams to improve work efficiency. Some industry users have incorporated it into their daily workflow. It is recommended to refer to the latest official disclosures for specific user scale and industry adoption rate data.

Acapela Group’s cost advantage

• C-side/Individual: Usually a free version is provided to experience the core functions, and high-frequency use requires a paid package subscription.
• API/Developer: Billed by call volume, suitable for development teams that can be flexibly integrated into their own systems.
• Enterprise/Privatized: Contact the business owner for customized quotation and deployment plan. The specific price is subject to the official real-time pricing page.

Acapela Group’s Summary and Outlook

It provides competitive solutions in its field, and its core value lies in lowering the threshold for AI use in this field. With technology iteration, products are expected to continue to improve in functional coverage and performance.

Current limitations: Some advanced features require paid subscription, and the free version has function or usage restrictions; specific technical details and performance benchmarks have not been fully disclosed, and it is recommended to fully verify it through trial before purchasing.

Related tools: elevenlabs, udio

Acapela Group’s model and version evolution

Continuous iterative updates, the latest version introduces performance optimization and new features. Historical version information can be viewed on the official release page. There is no complete public version evolution timeline yet. It is recommended to pay attention to the official announcement to understand the rhythm of feature updates.

How to use Acapela Group

• Web client: You can use it by visiting the official website and registering an account. Most functions do not require installation.
• API access: Provides RESTful API, developers can obtain the API Key and integrate it into their own applications.

Acapela Group’s Product Pricing

The pricing model is subject to the official real-time page. Usually a freemium or subscription system is used, and basic functions can be used for free. Advanced functions or high-frequency use require paid subscriptions, and users are advised to evaluate the optimal solution based on actual usage.

Version Info

• Acapela TTS 2025 ：No official precise date yet; annual updates to expand sound models and language coverage. （~2025）
• Acapela TTS 2024 ：No official precise date yet; enhance the quality of neural TTS model. （~2024）