About Happy Scribe
Happy Scribe uses the latest voice recognition technology to convert audio to text within a few minutes. We accept over 30 audio file formats including AIFF, M4A, MP3, MP4, WAV, and WMA. There is also no file size limit and we are able to transcribe over 119 languages and accents, including English, French, German, and Spanish.
There are numerous advantages to translate audio to text. When you translate audio to text you make your content more accessible for the Deaf, hard of hearing, and non-native language speakers. Transcribing audio to text can increase SEO because Google can’t index audio. Additionally, converting audio to text makes it easy to create blog content making the best use of your time and resources. Converting audio to text can also help you get more social media shares. Audio files are not compatible with social media snippets, but text quotes are. Simply put, converting audio to text can help increase viewership and result in more traffic to your content.
Audio to text transcription involves converting audio files into a text file. From journalists needed to select a quote for their article from a recent interview, to businessmen needing a written record of a meeting, to a student wanting study notes from a lecture, there are plenty of scenarios where having a text file is more convenient than an audio recording. Transcription is also useful for podcasts, phone calls, dictation etc.. This is where transcription software can help.
Transcription involves converting audio to text. Transcribing audio to text involves taking an audio file and converting it to a text document verbatim and in the same language that the original speaker used. The best audio to text conversion can take an audio file in Spanish and convert it into a Spanish text file. On the other hand, translation is the process of taking a piece of audio or written text and converting it into another language. For example, if you have a text document in English but want it converted to French, that is translation.
The amount of time it will take to transcribe audio to text depends on the length of your audio file, the quality of the audio and whether or not you transcribe the audio yourself or use software that will transcribe audio to text. If your audio quality is good and you are experienced at transcribing audio to text you can expect to take 4 hours to convert 1 hour of audio. If you have poor audio or are a novice at transcribing audio to text this may take longer. In contrast, the best audio to text converter can convert audio to text in a few minutes.
There are three main methods for converting audio to text - manually doing it yourself, using an automatic audio transcription service provider, or to have an outsourced human manually do it for you. (think Upwork). Manually converting audio to text is the cheapest method, but also extremely time-consuming. Human transcribing provided the highest accuracy rate, but is very expensive and has a slow turnaround time. For the quickest turnaround at an economical cost, then an automatic transcription tool is the way to go. It uses artificial intelligence/machine learning to do the voice to text.
Conozca la herramienta de transcripción definitiva 👌 Sincroniza audio y texto dentro de una interfaz simple y amigable. Hacemos la transcripción muy fácil.
Identificación del hablante
Reconocemos cuando el hablante cambia. Solo tienes que escribir su nombre.
Resaltar y comentar
Agregar comentarios es útil cuando se colabora con colegas
Marcas de tiempo
Agregue marcas de tiempo donde desee en el texto. (Puede ser exportado)
Puede exportar en Word, TXT, SRT, STL, HTML, AVID y Premiere Markers.
En Happy Scribe, puede compartir una página de solo lectura de su transcripción.
Ayudante de corrección
Corrija más rápido mirando solo los lugares donde el algoritmo tuvo problemas.