From Meeting Notes to Live Translation: AI Voice Services Compete in Real Time

Competition in AI voice recording services is shifting from post-meeting deliverables to support features during meetings. The benchmark is moving from outputs produced after a meeting ends to functions that can be offered while the meeting is underway.

Early AI meeting note services focused on transcribing recorded speech and summarizing meeting content. Recently, they have expanded their features with real-time transcription, multilingual recognition, and translation.

As a result, these services are also expanding their role from an "AI scribe" for organizing records after meetings to an "AI interpreter and meeting assistant" that helps users understand discussions during meetings. In South Korea, leading voice recording services include Naver's "Clova Note" and ActionPower's "Daglo."

Overseas, Otter.ai, Fireflies.ai, and Notta are expanding the market. In addition, South Korean startup BizCrush has emerged by introducing a service that combines real-time transcription and translation for offline settings such as international events and overseas meetings.

Although AI voice recording services operate in the same market, each service has a different starting point and core focus. Clova Note's strength lies in Korean-language meeting records and enterprise management features. Daglo's strength lies in using generative AI for documents after transcription, while Otter.ai and Fireflies.ai are more active in connecting online meetings with enterprise work systems. Notta and BizCrush are trying to differentiate themselves through multilingual real-time communication.

One familiar service in South Korea's AI voice recording market is Naver Clova Note. Clova Note combines speech recognition, speaker separation, and AI summarization into a meeting record management service. It is introduced as a service that focuses on Korean-language meeting records and enterprise management features.

Naver Works Clova Note for enterprises supports real-time recording, file uploads, PC web recording, and video meeting recording. Higher-tier plans provide automatic speaker identification and an API for integration with external enterprise systems. In this way, Clova Note combines the functions needed in the meeting-recording process with management and integration features for enterprise environments.

Clova Note focuses on extracting the key points of meetings. It also adds extraction of follow-up tasks, aiming not just to organize meeting content but to derive next steps from it.

Clova Note and Daglo belong to the same category in that they accurately record meeting content and support the use of information after recording. Clova Note aims to perfect the typical "AI meeting notes" service and is centered on internal corporate meeting management and Korean-language voice recording.

By contrast, Daglo is moving beyond voice-to-text conversion and expanding into a generative AI workspace. Daglo provides recording transcription, file transcription, and YouTube content transcription, and users can also use AI chat and summarization features. In paid plans, it offers AI models such as GPT, Gemini, Claude, Perplexity, and Grok, and it also supports MCP integration with Slack and Notion. As a result, Daglo is placing greater emphasis on using voice transcription data as input for other AI tasks, giving it a character that is close to a productivity platform centered on the reuse of transcribed data with generative AI.

Trends among global overseas services are developing in the direction of stronger AI involvement in the meeting itself. Overseas services are advancing from recording and organizing meeting content to a direction in which AI helps user actions while the meeting is in progress.

Otter.ai has provided real-time transcription for online meetings such as Zoom, Google Meet, and Microsoft Teams. Otter.ai has focused on building searchable knowledge from meeting content.

Through recent service expansion, Otter.ai has evolved from a simple AI note-taker into an AI agent that offers advice during meetings. The product Otter.ai unveiled in July is "Live Assist."

"Live Assist" provides screen information during meetings, supports follow-up questions, and helps with responses. Accordingly, Otter.ai is showing a shift away from post-meeting summarization and toward user intervention during conversations.

Fireflies.ai's strength lies in integration with enterprise work systems. Fireflies.ai supports video meeting services such as Google Meet, Zoom, Teams, and Webex, and integrates with more than 100 applications, including Salesforce, HubSpot, and Slack. Fireflies.ai handles meeting events by immediately delivering them to CRM and collaboration tools, and through integration with various work systems it is moving toward a flow that passes meeting information directly to other work tools.

Competition among overseas AI meeting services is expanding from "AI for writing meeting notes" to "meeting agents." The scope of a "meeting agent" includes turning meeting content into enterprise data, integrating with other systems, and supporting user actions in real time. Another competitive axis is multilingual capabilities.

Fireflies announced support for transcription and summarization in more than 100 languages. Since this year, Fireflies has been offering beta access to "Multi-Language Mode," an automatic detection feature for mixed-language use within a single meeting.

This trend shows that overseas AI meeting services are expanding beyond simple recording functions to include multilingual processing and work-system integration. The image is AI-generated.

Notta is a service that originated in Japan. Notta emphasizes real-time transcription and real-time translation. It supports 58 languages in general transcription. It also supports 36 input languages and 61 translated languages for real-time single-language translation.

Notta also offers bilingual transcription and translation for situations where two languages are mixed. Real-time translation can be used on web, mobile, and online meeting bots. It can be used for overseas meetings and interviews.

South Korean startup BizCrush and Notta both highlight multilingual real-time communication. However, while Notta is a global multilingual transcription platform that broadly supports online and mobile use, BizCrush is targeting a different usage environment.

BizCrush has set its main usage environments as real-world work settings with a lot of noise and mixed conversations, such as cafes, conferences, exhibition halls, and airport lounges. The company said it applied its own speech preprocessing technology designed to maximize preservation of the consonant range and detailed information in human speech. The technology focuses on voice recording using only a smartphone even in environments with coffee machine noise, nearby conversations, and crowds, and it is currently patent pending.

BizCrush provides real-time transcription and real-time translation. It also offers voice interpretation using the STS (Speech-To-Speech) method. In the STS method, the other party's speech is not limited to text translation but is output as translated speech.

BizCrush offers "Live AI Subtitle & Translation Overlay." This service directly displays translated subtitles over presentation slides, operating by overlaying translated captions on the existing presentation screen without the need for a separate subtitle screen or additional interpretation equipment.

Based on this, BizCrush is shifting its focus away from ordinary meeting notes and toward conference and event sites as well as global markets. In July, it was applied at "Job Gooder Festa 2026," where it delivered real-time English subtitles for Korean presentations, translated English remote presentations into Korean subtitles, and provided translated subtitles on the event's main screen. It was also applied this year to WIS 2026, a domestic developer conference this year, a hackathon this year, an overseas AI summit this year, and a Korean speaking contest this year.

BizCrush began expanding into South America this month and is preparing for "Consumer Electronics Show (CES) 2027," which will be held in Las Vegas next January. "Consumer Electronics Show (CES) 2027" is the world's largest IT and electronics exhibition.

BizCrush launched its official enterprise version, "BizCrush Enterprise," on the 31st of last month, and after the enterprise version launch it is focusing on initial stabilization and feature enhancement. "BizCrush Enterprise" does not stop at supporting real-time transcription and translation; it also generates summaries immediately after the meeting ends with linked speaker sources. The generated summaries are delivered to existing work tools such as Notion and Slack, and customization tailored to each company's work environment is also supported.

As a long-term goal, BizCrush is aiming to expand into documenting and accumulating knowledge from internal corporate conversations such as call center consultations, compliance, and customer service (CS). Accordingly, it is pushing to expand beyond meetings toward continuously accumulating internal corporate conversations as documents and knowledge assets.

One differentiating factor in AI voice services is the recognition of specialized terminology. General-purpose STT may show high recognition rates in everyday conversations, but errors can increase when company names, personal names, semiconductor processes, or medical and financial terminology appear. In this regard, the ability to accurately recognize industry- and organization-specific terminology is presented as a competitive factor.

The way enterprise voice technology is being advanced differs by service. Clova Note is strengthening automatic speaker identification and management and security features in its enterprise service. Fireflies and Otter.ai are accumulating internal corporate meeting data and evolving toward a "conversation knowledge base" centered on searching and using accumulated data.

BizCrush is presenting an "adaptive word dictionary" as a differentiating factor for its enterprise service. At the initial stage of adoption, it builds a domain dictionary based on the company's registered terminology and PDF documents. After that, it continuously adds proper nouns and specialized terms used in actual meetings, and the added terms are reflected in speech recognition for the next meeting.

For example, in an investment firm, frequently mentioned portfolio company names become more prominent, while in a manufacturing company, terms related to parts and processes gradually become stronger. This shows that the axis of competition in AI voice technology is shifting from improving the accuracy of general-purpose models to understanding each company's language and work context.

An industry source said that competition in AI voice services has moved beyond improving transcription accuracy, and that the scope of competition is expanding to real-time translation, broader work-system integration, and expanded learning of organization-specific terminology. The source added that, going forward, more important factors than post-meeting record quality will be support for accurate understanding during meetings and a natural connection to subsequent work.

Source: IT DAILY · Lee Jae-young
Original: https://www.itdaily.kr/news/articleView.html?idxno=241459

References

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