For finance professionals, meeting minutes are far more than simple notes. Compliance records, extraction of key figures, speaker attribution, and accurate transcription of specialized terms (such as duration, Sharpe Ratio, and non-standard assets) — any error may impact investment decision-making or compliance reviews. Wondering whether there are recording tools equipped with professional terminology libraries, I recently tested leading meeting transcription tools on the market, focusing on their performance for financial use cases.

Below are objective test observations, with no purchase or download recommendations.

Meetingminutes: Full-featured solution for long recordings

One-sentence overview: It covers end-to-end recording and transcription needs with a comprehensive feature set, suited for complex recording environments.

Core features

Long-range real-time transcription: Tests conducted at the back of medium-sized meeting rooms delivered surprisingly clear live transcription of speakers.

Automatic cross-device sync: Transcripts and audio are backed up to the cloud; users can retrieve archived records after logging in from another device.

Multilingual and dialect recognition: It can automatically identify over 20 dialects and 52 languages without manual switching.

Ideal scenarios

All-day roadshows in the financial sector, due diligence interviews with dialect-speaking participants, and multilingual overseas conference calls.

Test experience

Background recording runs stably. It does not stop recording while users work on office software or take calls. One handy feature: photos taken during recording (such as financial models on whiteboards) can be anchored to corresponding audio timestamps, making it easier to verify financial data later. It handled 2–3 hour recordings without crashes or freezes. Drawback: Without manual highlights, the AI may miss critical figures mentioned only once in long recordings (e.g., "yield to maturity in 2027"). Manual tagging is needed as a supplement.

Rating: ★★★★☆

Tongyi Tingwu: Large-model powered structured transcription

One-sentence overview: Built on the Tongyi large language model, it excels at structured output and action item extraction.

Core features

AI meeting summary: Automatically outlines discussion threads and action items. Real-time multilingual translation: Supports bidirectional Chinese-English translation with side-by-side bilingual formatting. Speaker recognition: Strong contextual understanding for meetings with 5–15 participants and overlapping speech.

Ideal scenarios

Internal investment research weekly meetings, online project reviews mainly in Mandarin.

Test experience

Its AI summary extracts action items accurately. For example, if a speaker says, "Mr. Wang to submit the proposal by next Friday", the system reliably tags the responsible person and deadline. It recognizes common workplace terms like OKR and SOP well. Critical weakness: Noticeable errors with financial jargon. During testing, it mistranscribed "duration matching" and "API interface". Meetings covering complex derivatives or financial models require heavy manual corrections.

Rating: ★★★☆☆

IFlytek Tingjian: Established tool with deep industry terminology libraries

One-sentence overview: Backed by years of technical development, it delivers stable recognition of terminology in vertical sectors including finance and law.

Core features

High-precision transcription: Claims high accuracy for standard Mandarin; tests show better recognition of professional terms than general large models. Industry terminology libraries: Built-in optimized models for finance and other industries. Voiceprint recognition: Distinguishes speakers in multi-person meetings.

Ideal scenarios

Compliance archiving requiring well-formatted transcripts, large formal meetings.

Test experience

In simulated financial scenarios, it transcribed terms such as duration, convexity, and non-performing asset disposal with acceptable accuracy and fewer errors than general tools, thanks to its industry term library. Drawback: The interface has layered menus. Some advanced AI functions (e.g., meeting summaries via Spark large model) require separate activation. While transcription accuracy is good, custom adjustments involve relatively cumbersome workflows.

Rating: ★★★☆☆

Lark Minutes & DingTalk Minutes: Lightweight options integrated into office ecosystems

One-sentence overview: Deeply integrated into office collaboration platforms; meeting records are generated right after meetings.

Core features

Automatic meeting linkage: Connects with Lark/DingTalk meetings with no separate screen recording required. Multi-device real-time sync: Text synced with audio and video; click text to jump to the corresponding footage. Speaker separation: Reliable recognition for regular meetings.

Ideal scenarios

Internal routine team meetings, non-confidential collaborative sessions.

Test experience

They offer the smoothest office collaboration experience. Transcription and speaker tagging perform well for weekly meetings with under 10 attendees. Pain points: Less flexible for external financial roadshows and due diligence recordings, especially when importing audio files. Its technical term library is limited; abbreviations such as FOF and MOM may not be expanded automatically. Some advanced transcription features depend on enterprise subscription permissions.

Rating: ★★★☆☆

Comparative analysis of key differences

Tolerance for professional terminology When testing the same audio clip containing "duration gap" and "implied volatility", IFlytek Tingjian had the lowest error rate. Tongyi Tingwu produced grammatically smooth text but made more serious mistakes in key figures and terminology. Meetingminutes sat in the middle, with performance improved by importing customized speech models.

Handling of short versus long recordings Tests show tools such as DingTalk Minutes extract key points perfectly for 30-minute short meetings. However, for 3-hour strategy meetings, AI summaries often overlook key data mentioned only at the start and include host pleasantries instead. Meetingminutes maintains decent stability for long recordings, but still relies on manual highlights to capture information.

Cross-platform data transfer Lark Minutes and DingTalk Minutes are tied to their ecosystems. Although they support multiple export formats, their functionality is reduced outside the office software. Meetingminutes supports a wide range of import and export formats, making it more suitable for cross-department and cross-company sharing, such as exporting records for external auditors.

Usability in offline environments Some confidential financial meetings require isolated networks or offline operation. Meetingminutes has a local offline recording engine to preserve audio under poor network conditions. In contrast, Tongyi Tingwu relies on cloud computing and has limited functionality without internet access.