ActaAI асистент за срещи, който транскрибира разговори и ги превръща в обобщения и задачи, съобразени с ролята на всеки участник.

4.3 (4)

Прегледано от Daniel Nikulshyn·Актуализирано юли 2026 г.

Meeting Assistant Transcription Productivity AI Summaries Collaboration Integrations SaaS

Преглед

Acta е инструмент за интелигентен анализ на срещи с изкуствен интелект, който записва и транскрибира разговори по видеоконферентни разговори, а след това ги преобразува в структурирани бележки, обобщения и последващи задачи. Създаден е, за да премахне ръчния труд по писане на протоколи и проследяване на взетите решения след края на срещата. Това, което отличава Acta, е изходът, съобразен с ролята на участника. Вместо да създава едно общо резюме, инструментът адаптира обобщенията и задачите към различните заинтересовани страни – като проектни мениджъри, търговски представители или инженери – така че всеки участник вижда това, което е важно за неговата работа. Задачите се откриват автоматично, разпределят се по отговорници и могат да се експортират към популярни инструменти за продуктивност. Екипите обикновено използват Acta за разговори с клиенти, вътрешни stand-up срещи, прегледи на проекти и discovery сесии, при които точните записи и ясната отговорност за следващите стъпки са от значение.

Ключови функции

Live meeting transcription
AI-generated summaries by role
Automatic action item extraction
Integrations with calendars and task tools
Searchable meeting history
Shareable post-meeting reports

Цени

Модел: Freemium
Категория: AI Agents
Оценка: 4.3 / 5 (4)

Случаи на употреба

Automated Client Call Follow-Ups

Sales teams record client calls and instantly receive role-specific summaries with assigned action items, eliminating manual note-taking and ensuring follow-ups don't slip through the cracks.

Cross-Functional Project Meetings

Project managers, engineers, and designers each get tailored recaps highlighting only what's relevant to their role, reducing noise and speeding up alignment after meetings.

Daily Stand-Up Documentation

Engineering teams use Acta to transcribe stand-ups and auto-extract blockers and tasks, then push them directly into task management tools for tracking.

Searchable Meeting Knowledge Base

Organizations build a searchable archive of past meetings, letting teams revisit decisions, surface context, and share post-meeting reports with stakeholders.

Плюсове и минуси

Плюсове

Role-specific summaries reduce noise
Automatic action item detection and assignment
Accurate transcription across common meeting platforms
Saves time on manual note-taking

Минуси

Limited value for very short or informal meetings
Accuracy can drop with heavy accents or overlap
Requires trust in storing meeting data in the cloud

Отзиви

4.3

Средно от 4 оценки.

Влез, за да оставиш отзив.

Aisha Khan

Apr 27, 2026

Solid for our team

We rolled this out across the team last quarter and accurate transcription across common meeting platforms. Shareable post-meeting reports fits neatly into how we already work, and shareable post-meeting reports removed a step we used to do by hand. but it has held up under daily use.

Tomáš Novák

Dec 25, 2025

Use it every day

Honestly didn't expect to like it this much. AI-generated summaries by role is exactly what I needed, and automatic action item detection and assignment. I do wish requires trust in storing meeting data in the cloud, but I reach for it almost every day now and it just clicks.

Ingrid Bauer

Aug 16, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: integrations with calendars and task tools and role-specific summaries reduce noise. Where it lags: requires trust in storing meeting data in the cloud. On balance the feature set — especially aI-generated summaries by role — justifies the 4 stars for our use case.

Gunnar Eriksson

Jun 11, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on automatic action item extraction, and saves time on manual note-taking caught me off guard. Accuracy can drop with heavy accents or overlap is why this isn't a perfect score, still, I'd recommend giving it a real trial.