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Top 2 Transcription Software Companies $100M+ Revenue (August 2026)

As of August 2026, Latka tracks 2 transcription software companies with $100M+ in annual revenue. They have combined revenues of $498.3M and employ 1.6K people. They have raised $472M.

Every company below sells transcription software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Transcription Software Companies do

Transcription software is designed to convert spoken language into written text, facilitating accurate documentation and communication across various industries. These tools are commonly used for recording meetings, interviews, lectures, and other audio formats, enabling users to generate searchable text easily. The primary features often include automatic speech recognition, customizable formatting options, and support for various file types, enhancing workflow efficiency for users. Professionals from multiple sectors, such as legal, medical, academic, and corporate environments, utilize transcription software to meet their documentation needs. In addition to improving accessibility for individuals with hearing impairments, these tools often assist in compliance with legal and regulatory standards. Common buyer personas include administrative assistants, researchers, content creators, and compliance officers, all seeking to streamline their documentation processes and improve information retention.

Companies
2
Revenue
$498.3M
Funding
$472M
Employees
1.6K

Filters

Sorting: Highest -> Lowest

Filters

Top Transcription Software Companies $100M+ Revenue

Showing 2 of 2 companies ranked by annual revenue.

1Verbit logo
Verbit

New York, New York, United States

Verbit is an AI company that specializes in combining capturing the spoken word using artificial intelligence and supported by humans. It provides professional AI transcription and captioning solutions, delivering high accuracy and fast turnaround times.

Revenue
$365.3M
Year founded
2017
Funding
$472M
Team size
1.6K
2CoWin logo
CoWin

Munich, Germany

CoWin Copilot®️ Interview bring AI and human strength together. 1. ACE-ANY-INTERVIEW 2. CRACK-ANY-MEETINGS 3. 1:1-MENTORSHIP 4. YOUR-SIDE-HUSTLE Real-time STT Interview answers, Coding Support with Free CV generation. For candidates to excel any interviews.

Revenue
$133M

Frequently asked questions about Transcription Software Companies $100M+ Revenue

How many transcription software companies with $100M+ in annual revenue are there?

Latka tracks 2 transcription software companies with $100M+ in annual revenue. Together they generate $498.3M in annual revenue and employ 1.6K people.

Which transcription software company with $100M+ in annual revenue is the largest?

Verbit is the largest, with $365.3M in annual revenue, founded in 2017.

How much revenue does a typical transcription software company with $100M+ in annual revenue make?

The average transcription software company in this list makes $249.2M a year, across 2 companies with reported revenue.

Who are the leading Transcription software vendors with $100M+ in annual revenue?

Ranked by annual revenue, the leaders are Verbit and CoWin.

How much funding have transcription software companies with $100M+ in annual revenue raised?

The 2 transcription software companies with $100M+ in annual revenue tracked here have raised $472M in disclosed funding between them.

Related Collaboration & Productivity Software categories

Inclusion Criteria

- Must provide automatic transcription capabilities for audio and video content - Should support multiple file formats for input and output - Must include editing tools to enhance transcription accuracy - Should offer integration with other software tools, such as video conferencing platforms - Must provide options for searchable, exportable transcripts - Not just focused on manual transcription; must also offer automated transcription features