Popular Supported Languages
Below is the list of popular languages we support for transcription and subtitles.
Afrikaans
South Africa
Transcribe spoken Afrikaans speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Arabic, Gulf
خليجي
Transcribe spoken Arabic, Gulf speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Arabic, Modern Standard
فصحى العصر
Transcribe spoken Arabic, Modern Standard speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Chinese, Simplified
正体字
Transcribe spoken Chinese, Simplified speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Chinese, Traditional
正體字
Transcribe spoken Chinese, Traditional speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Danish
Dansk
Transcribe spoken Danish speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Dutch
Nederlands
Transcribe spoken Dutch speech from multiple sources of into text that is easy to read, export, and translate to share with others.
English
Australian English
Transcribe spoken English speech from multiple sources of into text that is easy to read, export, and translate to share with others.
English
Modern English
Transcribe spoken English speech from multiple sources of into text that is easy to read, export, and translate to share with others.
English
Indian English
Transcribe spoken English speech from multiple sources of into text that is easy to read, export, and translate to share with others.
English
New Zealand English
Transcribe spoken English speech from multiple sources of into text that is easy to read, export, and translate to share with others.
English
Scottish Standard English
Transcribe spoken English speech from multiple sources of into text that is easy to read, export, and translate to share with others.
English
South African English
Transcribe spoken English speech from multiple sources of into text that is easy to read, export, and translate to share with others.
English
U.S. English
Transcribe spoken English speech from multiple sources of into text that is easy to read, export, and translate to share with others.
English
Welsh English
Transcribe spoken English speech from multiple sources of into text that is easy to read, export, and translate to share with others.
French
Français Canadien
Transcribe spoken French speech from multiple sources of into text that is easy to read, export, and translate to share with others.
French
Français
Transcribe spoken French speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Farsi
فارسی
Transcribe spoken Farsi speech from multiple sources of into text that is easy to read, export, and translate to share with others.
German, Swiss
Schweizerdeutsch
Transcribe spoken German, Swiss speech from multiple sources of into text that is easy to read, export, and translate to share with others.
German
Deutsch
Transcribe spoken German speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Hebrew
עִבְרִית
Transcribe spoken Hebrew speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Hindi, Indian
हिन्दी
Transcribe spoken Hindi, Indian speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Indonesian
bahasa Indonesia
Transcribe spoken Indonesian speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Italian
Italiano
Transcribe spoken Italian speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Japanese
日本語
Transcribe spoken Japanese speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Korean
한국어
Transcribe spoken Korean speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Malay
ꤷꥁꤼ ꤸꥍꤾꤿꥈ
Transcribe spoken Malay speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Portuguese
Brasil
Transcribe spoken Portuguese speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Portuguese
Portugal
Transcribe spoken Portuguese speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Russian
русский язык
Transcribe spoken Russian speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Spanish
Spain
Transcribe spoken Spanish speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Spanish, US
United States
Transcribe spoken Spanish, US speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Tamil
தமிழ்
Transcribe spoken Tamil speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Telugu
తెలుగు
Transcribe spoken Telugu speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Thai
ภาษาไทย
Transcribe spoken Thai speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Turkish
Türkiye Türkçesi
Transcribe spoken Turkish speech from multiple sources of into text that is easy to read, export, and translate to share with others.
Features Legend
Listed below are the features that are language-specific.
- Batch Processing
- spch2txt can transcribe speech as either a media file or a real-time stream. Your input audio must use the encodings and formats described; FLAC, MP3, MP4, Ogg, WebM, AMR, or WAV file formats. Less than 4 hours in length and less than 2 GB in size (500 MB for call analytics jobs). For best results use a lossless format. You can choose either FLAC, or WAV with PCM 16-bit encoding. For telephone audio use a sample rate of 8,000 Hz
- Digit Transcription
- spch2txt automatically adds punctuation to all the languages that it supports. We also capitalize words appropriately for languages that use case distinction in their writing systems. For example, the spoken number "one thousand two hundred forty-two" is transcribed as "1242" in supported languages. For all other languages, numbers are transcribed into their word forms. automatically adds punctuation to all the languages that it supports. It also capitalizes words appropriately for languages that use case distinction in their writing systems. For example, the spoken number "one thousand two hundred forty-two" is transcribed as "1242" in supported languages. For all other languages, numbers are transcribed into their word forms.
- Acronyms & Abbreviations
- Acronyms are not supported in all languages. You can create a custom vocabulary using a list of words or phrases in a text file. You can place each word on its own line, or you can put multiple words on a single line, separating the words or phrases from each other with a comma. To enter acronyms, or other words whose letters should be pronounced individually, as single letters separated by periods; for example: A.B.C., F.B.I., A.W.S.. To enter the plural form of an acronym, such as "ABCs", separate the "s" from the acronym with a hyphen: A.B.C.-s. You can use upper or lower case letters to define an acronym.
- Custom Language Models
- Custom language models use your text data (training data) to improve transcription accuracy for your specific use case. For example, you can provide spch2txt with industry-specific terms or acronyms that it might not otherwise recognize. In order to produce accurate transcriptions, your text data must be representative of the audio you want to transcribe. Domain-specific text data can include website content, instruction manuals, technical documentation, and audio transcripts. The text data you provide must be related to your use case and, if using transcripts, these must be accurate. Using inaccurate data to train language models results in inaccurate models, which in turn affects the accuracy of any transcription results that use those models.
- Redaction
- Redaction is used to mask or remove sensitive content, in the form of personally identifiable information (PII), from your transcripts. Amazon Transcribe can redact information with batch jobs and streaming transcriptions. Additionally, if you are performing a streaming transcription, you also have the option to flag PII without redacting it. The redaction feature is designed to identify and remove sensitive data. However, due to the predictive nature of machine learning, spch2txt may not identify and remove all instances of sensitive data in your transcript.
- Streaming Inputs
- Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
- Call Analytics
- The call analytics feature is designed to help you gain insight into customer-agent interactions. The key components of this feature are; Turn-by-turn transcription, Sentiment analysis, Call categorization,Issue detection,Sensitive data redaction, and Call characteristics.