In Spain, the diversity of accents and languages such as Spanish, Catalan, Galician, and Basque can be a challenge for virtual meeting platforms. Voice recognition and transcription issues can lead to misunderstandings, wasted time, and stress in professional environments. This article compares three popular tools: Jamy.ai, Google Meet, and Zoom, assessing their ability to adapt to this linguistic diversity and improve efficiency in meetings.

Quick summary of the platforms:

• Jamy.ai: Automatically detects languages and accents, offers accurate transcriptions, and integrates with tools like Slack and Trello. From €19/month.

• Google Meet: AI-powered live translation, although with limitations in regional accents. Part of Google Workspace.

• Zoom: Real-time subtitles and translation in over 35 languages, but several features require additional payments.

Quick comparison:

Each tool has its advantages depending on your team's needs. Read on for a detailed analysis.

1. Jamy.ai

Jamy.ai, with over 500,000 processed minutes and a rating of 4.9 out of 5, adapts its technology to the linguistic particularities of Spain. This platform offers tools designed to overcome communication challenges in environments where multiple languages coexist.

Recognition of regional accents

Thanks to an advanced natural language processing system, Jamy.ai automatically identifies and adjusts to dialectal variations present in conversations. This is particularly useful in Spain, where phonetic differences between regions can complicate the accuracy of transcriptions.

Multilingual support

With support for over 50 languages, Jamy.ai automatically detects the language being used in meetings. This is crucial for international companies or teams working in multiple languages.

"I have used several meeting assistants, but Jamy has been the one that has worked best for me in terms of language switching. I work with clients who speak both Spanish and English, and Jamy automatically detects the language of the call and creates the meeting report in the correct language. This is super important for multilingual teams!" - A. Sánchez, Founder of Taiga Floors

Additionally, it generates real-time transcriptions and translates reports, simplifying collaboration between teams in different countries.

Contextual adaptation

One of the standout features of Jamy.ai is its ability to adapt to the context of conversations. It offers a customizable vocabulary system that allows training the platform with specific terminology, particularly useful in technical sectors or with regional expressions. This level of customization facilitates its integration into the most demanding business environments.

Integration in workflows

Jamy.ai natively connects with widely used tools in Spain, such as Google Meet, Zoom, Microsoft Teams, and Webex. This allows recording, transcribing, and linking meetings with other platforms like Slack, Trello, and CRM systems.

"I love that Jamy automatically assigns tasks to the people who need to carry them out. I no longer have to create tasks manually, which saves a lot of time." - Alexia Lafitau, CEO of Odys.travel

A practical example: in August 2024, the real estate company Epik implemented specific templates to manage clients, visits, and internal meetings through Jamy.ai. This change reduced the time spent on manual note-taking by 40% and improved customer satisfaction by 15%.

Moreover, the platform offers customizable templates for different types of meetings and configurable webhooks, allowing total integration with business processes.

2. Google Meet

Google Meet, unlike Jamy.ai, faces certain challenges when adapting to regional variations. However, it has made significant strides in handling languages and accents thanks to real-time translation powered by Gemini AI. Currently, the platform processes around 2 billion monthly interactions in Workspace.

Here’s how Google Meet tackles these challenges in various key areas.

Recognition of regional accents

The voice recognition system of Google Meet is based on Google's voice-to-text conversion technology. However, its accuracy can be affected by dialectal variations, background noise, and vocal quality.

"Unlike automated voice recognition technology, which often struggles to recognize accents, dialects, and context, human transcribers can identify these nuances, resulting in a more accurate and contextual transcription." – GMR Transcription

To improve results, it is recommended to speak clearly, at a moderate pace, use good quality microphones, and minimize environmental noise during meetings.

Multilingual support

Google Meet has implemented AI-powered live translation, allowing participants to communicate in their preferred language. This feature, initially launched in beta for subscribers of Google One AI Pro and Ultra, started with support for English and Spanish. In compatible meetings, the system automatically translates spoken words and plays them back in the target language with a synthetic voice that mimics the tone, rhythm, and intonation of the speaker. For example, if someone speaks in English, participants who select Spanish hear the translation almost instantly. Google plans to expand this support to other languages such as Italian, German, and Portuguese soon. Additionally, translated subtitles have been specifically added for Spanish (Spain).

Contextual adaptation

Although Google Meet offers automatic transcriptions in several languages, these may lose important details. In these cases, human intervention can be key to achieving greater accuracy. When accuracy is crucial, manually adjusting transcriptions is a recommended practice.

Integration in workflows

Google Meet has established itself as a key tool for high-quality audio and video meetings. The automated transcription feature is available in specific editions of Google Workspace. Before the introduction of live translation, users relied solely on live captions for any translation needs.

The growth of Google Meet has been impressive. In April 2020, Sundar Pichai, CEO of Google, announced that the platform had reached 100 million daily users. During that same year, Google Meet added 3 million new users each day. These achievements demonstrate its ability to adapt to global demands, although they also raise questions about how other platforms are facing similar challenges.

3. Zoom

Zoom faces the challenges of regional accents and communication in multiple languages. With translated subtitles in over 35 languages, the platform has invested in recognition and translation technology to enhance user experience. Additionally, it offers tools designed to facilitate communication in diverse business environments.

Recognition of regional accents

Zoom provides real-time subtitles that convert speech to text. In the case of Spanish, the platform includes variants such as "Spanish (Spain, International Sort)" and "Spanish (Traditional Sort)", adapting to regional differences. Although these subtitles are not always perfect, it is possible to adjust the language from the "Show subtitles" option for greater accuracy.

Multilingual support

The platform has also developed advanced simultaneous interpretation features. It allows assigning up to 20 interpreters with dedicated audio channels to facilitate communication. In March 2025, Zoom announced that its Small Language Model (SLM) has been optimized to improve translations between eight languages, including Spanish and English. Attendees can choose an audio channel to listen to the translation, with the option to mute or reduce the volume of the original audio.

Contextual adaptation

With Zoom AI Companion, meetings can be translated in real-time into over 30 languages. Cloud recordings capture both the original audio and the translations, while local recordings only include the audio that the user recording hears. However, interpretation is not available in small group rooms or on mobile or web versions, where only interpreted audio can be heard. One user noted that translated subtitles are not ideal for Russian unless speakers use a slow pace and simple terms. To this, Zoom responded:

"Our languages are on par or better than competitors in various key benchmarks for all languages, including Russian." - stueker, Community Champion | Employee

These features are designed to easily integrate into business workflows, optimizing collaboration.

Integration in workflows

Zoom connects with widely used tools like Microsoft Teams, Outlook, and Office 365, which is particularly useful for users in Spain. Additionally, it includes AI-based features, such as meeting summaries and task generation, which can be integrated with applications like Zoom Docs, Google Docs, or Word. Workflow Automation allows users to simplify tasks through Zoom Workplace and other third-party applications, while integration with Google Drive facilitates file management directly in meetings. Wei Li, head of Team Chat at Zoom, summarizes it this way:

"Empowering people with AI to help them do more is fundamental to what we do at Zoom." - Wei Li, head of Team Chat at Zoom

Notably, translated subtitles are available as an add-on for paid accounts, costing €5.00/month per user. To enable interpretation, the host must schedule the meeting with an automatic ID.

Pros and Cons

Each meeting software has specific features to handle accents and offer multilingual support. The following table summarizes the main strengths and limitations of each platform:

Next, key aspects such as performance, integration, and potential biases in these tools are analyzed in detail.

Performance in Accent Recognition

Automatic speech recognition (ASR) systems show variations in their accuracy depending on the speaker's accent. For example, dictation tools from OpenAI Whisper are two to three times less accurate for speakers with non-native accents. In the case of Spanish, a particular issue has been identified with the southern Spanish accent when spoken by men, possibly due to biases in training data.

Whisper (Base) makes about half as many errors as Alexa when processing Spanish. Meanwhile, Whisper (Large-v2) significantly improves results, achieving a word error rate (WER) of under 10% for both genders. However, among Alexa variants, the U.S. version performs the worst when analyzing different accents.

Multilingual Support and Productivity

Multilingual support is essential in diverse work environments. According to recent data, 59% of employees working in a language other than their native one fear losing important information, while 80% report higher productivity when communicating in their primary language. Additionally, a lack of foreign language skills can lead 25% of employees to miss business opportunities.

Integration with Local Workflows

The ability to integrate with local business tools is key to optimizing processes and reducing manual tasks. Platforms that allow a seamless connection with enterprise systems can automate tasks and significantly decrease administrative burden. For example, some teams have managed to reduce this burden by up to 65% thanks to the automation offered by these solutions.

Bias and Accuracy Considerations

AI models are not exempt from biases, especially concerning gender and accent, which can affect their performance for certain social groups. The quality of training data plays a crucial role: when these data present biases, error rates increase for specific demographics. For example, Amazon, Apple, Google, IBM, and Microsoft's voice-to-text conversion tools exhibit an average word error rate almost double for African American speakers compared to white speakers.

"For the populations these models are trained to handle well, state-of-the-art models - even free-and-open models like [OpenAI] Whisper - are absolutely astonishing, and can do things which I never would've expected possible 10 years ago".

These factors are decisive when choosing the right tool for local business environments, where accuracy in transcription and the ability to adapt to linguistic particularities are essential for effective communication.

Final Thoughts

Choosing the right meeting software to manage regional accents in Spain depends on the specific needs of each organization and the level of accuracy required. This analysis shows that there is no one-size-fits-all solution, as the ideal choice varies according to the context and demands of each team.

Jamy.ai stands out for its multilingual capabilities and focus on automation of tasks, making it an effective tool for diverse teams. Its ability to automatically process more than 50 languages is particularly useful for companies with a multicultural workforce. Many users appreciate its automatic language detection feature and the generation of reports in multiple languages, characteristics that make it practical and efficient. Additionally, its balance between price and features positions it as a solid option for teams with varied needs.

However, in situations where accuracy is absolutely critical, such as in the legal field, human intervention remains essential. As noted by SpeakWrite:

"AI tools promise quick results, but often misinterpret names, numbers, and complex phrases. Legal jargon? Corporate contracts? AI makes mistakes more often than it should".

On the other hand, tools like Google Meet and Zoom perform well for standard meetings but may face challenges in handling regional accents accurately.

In summary, the key lies in evaluating the context of use. For internal meetings and follow-up tasks, Jamy.ai provides a balance between functionalities and accuracy. However, for official documents or legal content, it is always advisable to have human review, regardless of the tool used. The final decision should align with each company's communication and operational priorities.

FAQs

How does Jamy.ai handle different accents and regional dialects in Spain?

Accent and dialect recognition in Jamy.ai

Jamy.ai has been created to identify and adapt to the accents and regional dialects of Spain, such as Andalusian, Catalan, or Galician. Thanks to its advanced natural language processing technology, it achieves more accurate transcriptions, even in situations where multiple languages are mixed.

Another standout feature of Jamy.ai is its automatic language detection capability. This allows it to switch between different languages in real-time, which not only improves transcription accuracy but also makes communication smoother in meetings with participants from different regions or countries.

What are the advantages of Jamy.ai for managing languages, dialects, and accents in meetings?

Jamy.ai: A Multilingual Tool for Global Teams

Jamy.ai is distinguished by its ability to work with over 50 languages, offering precise transcriptions that manage to capture even the nuances of different dialects and regional accents. This not only enhances communication in international teams but also ensures that all members clearly understand what was discussed in meetings.

Another of its notable functionalities is the automatic language detection, which allows for switching from one language to another without interruptions. This is particularly useful in environments where multiple languages are used, facilitating smooth collaboration and eliminating language barriers. Thanks to these capabilities, Jamy.ai positions itself as an essential tool for companies that operate globally and seek to optimize both productivity and clarity in their meetings.

How does Jamy.ai help integrate tools like Slack and Trello to streamline meetings?

Jamy.ai integrates seamlessly with tools like Slack and Trello, facilitating more productive and organized meetings. During sessions, it automatically detects key tasks and assigns them directly to the responsible parties in these platforms, eliminating the need to do it manually.

It also offers the possibility of customizing templates to gather essential information and improve workflows. These integrations not only streamline tasks but also ensure a more efficient follow-up of projects and responsibilities.