DixiLang

Speech-to-text Solutions

Media & Entertainment Technologies
Non Active, Aug 2021 ceased to operate
Mature Gedera Founded 2012
Total raised
Stage
Mature
Founded
2012
Headcount
10
HQ
Gedera
Sector
Media & Entertainment Technologies

About

DixiLang is the developer of several solutions for converting natural speech to text in real time. The company is also developing transcription technologies and other products designed to complement one another. DixiLangs transcription engine allows for a wide range of options, such as transcribing multiparticipant discussions, separating speakers, dictating documents, transcribing recording files, and even automatically creating subtitles for videos.

Company Intelligence Q&A

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What is DixiLang's primary business?
DixiLang develops solutions for converting natural speech to text in real time, including transcription technologies and related products.
When was DixiLang founded?
DixiLang was founded in April 2012.
What is the operational status of DixiLang?
DixiLang is currently inactive, having ceased operations in August 2021.
Where is DixiLang's headquarters located?
DixiLang's headquarters is located in Gedera, Center District, Israel.
What technologies does DixiLang utilize in its products?
DixiLang utilizes Artificial Intelligence, Voice & Speech Recognition, Natural Language Processing, Platforms & Interfaces, and Web technologies.
Who is a founder of DixiLang?
Tomer Wolf is a founder of DixiLang.
What are the target customer segments for DixiLang's solutions?
DixiLang targets Enterprise & Professional Services and Translation & Linguistic Services customers.
What is the employee count for DixiLang?
DixiLang has between 1 and 10 employees.

Sectors & technology

Primary sector
Media & Entertainment Technologies
Sub-sectors
Media & Entertainment TechnologiesDigital Content ProductionDigital Content Distribution
Technologies
Artificial IntelligenceVoice & Speech RecognitionNatural Language ProcessingPlatforms & InterfacesWeb
Target customers
Enterprise & Professional ServicesTranslation & Linguistic Services
Business model
B2B2CB2B

Tags

natural-language-processingvoice-recognitionenterprise-solutionsedtech