Main points from audio: how to compose an exact summary

Why a task is needed and how it works

A task is the 'Goal or desired result' text field you fill in before generation. It tells the AI exactly what you want to get from the transcription: a summary, a list of tasks, key decisions or something else. Without a clear task, the AI may produce a general summary that does not reflect your priorities.

The tool first transcribes audio locally in the browser, i.e. the sound is not sent to a server for transcription. Then the transcribed text is passed to the AI for analysis. The task helps the AI understand the context and focus on the relevant aspects.

A properly composed task saves time on verification and increases accuracy. It should be specific but not too long so as not to overload the model.

Poor task: 'Make a summary'. Good task: 'Highlight main decisions and tasks from the meeting about project X'.

Key elements of an exact task: context, goal, format, constraints

Context: specify what kind of recording this is - a meeting, a lecture, an interview, a client call. This will help the AI correctly interpret terms and names. For example: 'This is a marketing department planning meeting recording from March 15th'.

Goal: formulate what you want to get. This can be a list of actions, a brief summary, highlighting problems or questions. The more specific the goal, the better the result. For example: 'I need a list of tasks with responsible persons and deadlines'.

Format: specify the desired response structure. For example: 'Format as a bulleted list' or 'Divide into sections: Decisions, Tasks, Questions'. If the format is not specified, the AI will choose its own, which may not match your expectations.

Constraints: if there are important details to consider or exclude, add them. For example: 'Ignore budget discussion, focus on technical details' or 'Identify only tasks related to client Y'.

Context: 'Recording of a job interview with a developer candidate'. Goal: 'Assess technical skills and soft skills'. Format: 'Table with pros and cons'. Constraints: 'Do not take salary discussion into account'.

Example of a poor and good task: comparison

A poor task is often too general: 'Make a summary'. The AI may output a retelling that does not highlight the main points and does not show actions. Also bad if the task is contradictory: 'Make it brief, but detailed'. This confuses the model.

A good task contains specificity. For example: 'This is a recording with a supplier. Highlight three key points: delivery conditions, deadlines and risks. Format as a list with subpoints. Ignore logistics discussion'. Such a task gives the AI clear guidelines.

Another example of a good task: 'From this history lecture, highlight main dates and events related to the Industrial Revolution. Represent as a chronological list. Do not include biographies of secondary persons'.

Poor: 'Make a summary and highlight actions'. Good: 'This is a planning meeting. Highlight tasks for the development team, indicate responsible persons and deadlines. Format as a table. Skip vacation discussion'.

How to check the result and what to do with errors

After generation you will get text in a separate panel. It can be copied or downloaded in TXT format. Check if the result matches your task: are all key points reflected, is there any unnecessary information.

If the result is incomplete or inaccurate, try clarifying the task and generating again. For example, if the AI missed tasks, add to the task: 'List all tasks, even minor ones'. If the answer is too long, specify: 'Reduce to 5 items'.

Remember that the model can make mistakes. Always cross-check with the original recording, especially if it concerns important decisions or numbers. Do not rely completely on automatic analysis.

After generation you see that the summary has no section with questions. You change the task to 'Add a section with open questions' and generate again.

Tool limitations and typical errors

The tool does not support export to DOCX or PDF, only TXT. No batch processing, automatic saving, integrations or publishing. Input limits: first field up to 8000 characters, second up to 1000. Browser audio - up to 20 MB and 5 minutes. These limitations are important to consider when planning.

Speech recognition is done locally, so quality depends on the clarity of the recording. Background noise, poor microphone or multiple speakers at the same time can reduce accuracy. The AI does not generate audio or video, does not clone voice and does not create photorealistic images - only SVG and PNG vectors, eSpeak WAV speech and SRT subtitles.

A typical error - too long or vague task. The model can get confused. It is better to break a complex goal into several simple ones or use one concise sentence. Also do not expect the AI to understand narrowly specialized terms without explanations.

If the recording is longer than 5 minutes, the tool will not accept it. You will have to split it into parts or use another method.

Practical recommendations for different types of recordings

For business meetings specify the goal: 'Highlight decisions and tasks with responsible persons'. Format: 'List with markers'. Constraints: 'Ignore small talk'. For lectures: 'Highlight main theses and examples'. Format: 'Numbered list'. Constraints: 'Do not include digressions'.

For interviews: 'Highlight key candidate answers and assess their skills'. Format: 'Table: question - answer - comment'. Constraints: 'Do not consider personal questions'. For client calls: 'Highlight customer requests and agreements'. Format: 'Two sections: Requests, Actions'. Constraints: 'Skip price discussion'.

The more precisely you describe the context and desired result, the less time you will spend on verification. Do not be afraid to experiment with formulations, but always check facts against the original recording.

For a planning meeting: 'This is a weekly sales department planning meeting. Highlight tasks for each manager and deadlines. Format as a list. Ignore corporate party discussion'.