Main points from audio: how to get an accurate summary and action items

Formulating the goal: the basis of an accurate result

Before loading audio formulate exactly what you want to get. In the "Goal or desired result" field you can enter up to 1000 characters. The more specific the goal, the better AI will understand which details are important. For example, if you need a meeting protocol with emphasis on decisions made, indicate this. If you need to highlight only tasks for the marketing department, write it right away. Avoid general formulations like "do well" - they do not help the model.

The goal affects the structure and content of the summary. Without it AI may include secondary details or miss key ones. Formulate the goal in one or two sentences, using action verbs: "highlight", "list", "compare". This increases the chances of a relevant result.

Note that the tool does not support style or detail level settings. All management is done through the text goal. Therefore invest maximum meaning into it. If the result does not match expectations, change the goal and generate the summary again.

Goal: "Highlight main decisions of the project and tasks for the development team for next week".

Loading audio and local speech recognition

The audio file is loaded into the browser and recognized locally. This means that the sound is not sent to the AI server for transcription. However after recognition the text is passed to AI for summarization. It is important to understand: locally only speech-to-text conversion happens, analysis and compression are performed by the model.

Audio limitations: size up to 20 MB and duration up to 5 minutes. If the recording is longer, split it into parts. Recognition quality depends on clarity of speech, absence of strong noise and accent. The tool does not support video, only audio.

After loading you will get a transcript. Check it for recognition errors: names, numbers, terms. If there are many errors, you may need to re-record the audio or manually correct the text before summarization. But remember: editing the transcript is not part of the tool functionality, you can do this in an external editor.

First result: what you will get

After pressing the "Generate" button you will see a summary in a separate panel. Usually it contains main theses and a list of actions. However the first result may not be ideal: AI may miss important details, misinterpret the goal or include unnecessary information.

Typical problems: too general formulations, absence of specific deadlines and responsible persons, mixing facts and opinions. Also possible errors in names and numbers. Do not use the result immediately in work - it needs editing.

Evaluate how well the summary matches your goal. If not, try rephrasing the goal and generate again. Sometimes adding key words that should appear in the result helps.

First result may look like: "We discussed the budget. We decided to increase funding. Tasks: prepare a report, contact partners". Here there is a lack of specificity: who, when, which budget.

Refining the goal and repeated generation

If the first result is unsatisfactory, change the goal. For example, instead of "make a summary" write "list tasks with responsible persons and deadlines". The more precise the goal, the better. You can also specify the desired format: "list", "table", "paragraphs".

Repeated generation does not guarantee an ideal result, but increases chances. Experiment with formulations. If the tool returns an error or the queue is overloaded, try later. Availability may vary.

Do not forget that the model does not have context of your organization. It does not know who "Alexander" is or what "project X" means. Therefore you can give brief explanations in the goal, but do not overload the text.

Refined goal: "Make a list of tasks from the meeting with indication of responsible persons (names) and deadlines (dates), exclude general discussions".

Manual text editing

After receiving an acceptable summary it needs to be edited manually. Check facts: numbers, dates, names. If there were speech recognition errors in the audio, they may transfer to the summary. Compare with the transcript or original recording.

Remove repetitions and water. Add missing details if they are important. Bring the list of actions to a unified format: task - responsible - deadline. This will make the material ready for mailing or report.

Remember that the tool does not automatically save results. Copy the text or download it as TXT. Do not rely on history: it does not exist. If needed, save the file to your device.

Checking the result and limitations

Always check the summary against the original audio. AI can hallucinate: add things that were not there. This especially concerns numbers and names. If in doubt, re-listen to the fragment.

The tool does not support export to DOCX or PDF, only TXT. No batch processing, integrations or automatic saving. Vector images - only SVG and PNG, but they are not related to audio. Speech synthesis (eSpeak WAV) and SRT subtitles - additional functions not related to summarization.

Duration and file size limitations may require prior trimming. Recognition quality depends on diction. Model can make mistakes, queue may vary. Do not use the tool for critical decisions without checking.

Preparing ready material

After editing you have text that can be used. If it is a meeting protocol, send it to participants. If a task list - load it into a task tracker. Make sure all actions have responsible persons and deadlines.

For a report you can add a brief introduction and conclusion. But do not overload: the summary should remain brief. If needed, create a presentation based on the summary, but this is already outside the tool.

Remember that the tool does not give guarantees of ranking or accuracy. It is an assistant, not a substitute for careful analysis. Use it for rough work, and final editing do manually.

Ready material: "Tasks: 1. Prepare report - Anna, by 15.06. 2. Contact partners - Ivan, by 10.06. Decision: increase budget by 10%"