interview-ai

How long does it take to transcribe an hour of audio data? Tips on how to improve efficiency are explained.

It takes more than 3 hours to manually transcribe 1 hour of audio data. 1 hour of audio data can amount to about 30,000 characters if you try to transcribe it as is. 10 tips for efficient transcription of 1 hour of audio data are introduced.

[Interview AI] 15-second transcription and automatic correction to conversational format tried and tested.

I would like to experience [“Interview AI”](https://app.interview-ai.site/), which uses AI to immediately transcribe and automatically convert into a natural interview format, with an audio file of an actual interview. The audio file we will be using will be a 25-minute audio interview about a physician career.

[Latest in 2025] Three ways to save subtitles in Google Meet | Explanation of the differences between free and paid options! Utilizing the “Koemoj” extension tool

A complete guide to saving and using captions in Google Meet. Learn the limitations of built-in subtitles, how to use the "Koemoji" Chrome extension for Japanese transcription, and methods to save text after meetings. Updated with 2025 info.

How to use “Voice In” to make voice input into ChatGPT easy and efficient

The Google Chrome extension “Voice In” makes voice input into ChatGPT easy and efficient. By utilizing the standby mode and voice command functionality, work productivity is improved and integration with other tools is facilitated.

Depth Interview] Three points of failure that beginners tend to make and how to overcome them.

For a successful depth interview, it is effective to take advantage of the two-person team and have the sub-interviewer actively ask questions. In addition, it is important to construct questions with an awareness of the 5W1H and to proceed flexibly without being bound by a list of questions. These points will help to achieve interviews that provide deeper insights.

How to write an interview article that is readable｜How to strike a balance between “readability” and “message”.

To create an interview article that will be read, it is important to create a clear flow with a three-act structure and use the 5W1H to dig deeper into the questions. Also, convey the content in a concise and engaging manner by formatting the language and organizing the main points. Finally, grab the reader with an introduction and conclude the article by utilizing the interviewee's words to create a highly complete article.

Three Types of Transcription｜The Difference between Transcription, Kebabori, and Arrangement, and How to Use Them

There are three types of transcription: “transcription,” “kebabori,” and “text preparation,” each of which is used for different purposes. Basically, in order of unit price, the three types of transcription are, in descending order, “text preparation”, “transcription”, and “kebashigiri”. This article also introduces examples of efficient transcription and automated editing using interview AI.

[Thorough explanation] How to write conversational meeting minutes and interview templates and

Introduces templates for efficiently compiling conversational minutes and interviews. Tips for organizing the content for each speaker and smoothly recording the flow of questions and answers are also explained. Use these easy-to-use templates to accurately convey the main points of information and improve work efficiency.

In-depth explanation of outsourcing transcription｜Specialized companies vs. freelancers｜Cost, time, and tips for making a request

The unit price for transcription is about ¥200-300 per hour for a professional transcriptionist, while the unit price for a freelancer is about ¥100 per hour. When requesting a transcription, make it clear which of the following is required: “transcription,” “keba removal,” or “arrangement of text. Also, if there is a lot of technical terminology, provide a glossary or other materials in advance.

How to compress audio files for free: Script for easy realization in Python

Learn how to effectively compress audio files using Python. Specific steps to convert high-quality WAVs to MP3s and reduce their size by adjusting sample rate and bitrate. Efficient audio management will be aimed at addressing the challenges of upload restrictions and online tools.

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