What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in transcription software category. Our data sources in transcription software category include;
Transcription software auto transcribe voice to text. Best-in-class transcription software are able to transcribe voice even in noisy environments
If you’d like to learn about the ecosystem consisting of Transcription Software and others, feel free to check AIMultiple Conversational AI.
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We use the data sources on the side for ranking solutions and awarding badges in transcription software category. Our data sources in transcription software category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
BigHand Speech Recognition
Verbit.ai
Sonix (sonix.ai)
Deepgram
RingDNA
Taking into account the latest metrics outlined below, these are the current transcription software market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
RingDNA
Sonix (sonix.ai)
BigHand Speech Recognition
Dragon Speech Recognition Software
The FTW Transcriber
These are the number of queries on search engines which include the brand name of the solution. Compared to other Conversational AI categories, Transcription Software is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 68%, 8% more than the average of search queries in this area.
43 employees work for a typical company in this solution category which is 22 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 33 companies with >10 employees are offering transcription software. Top 3 products are developed by companies with a total of 700k employees. The largest company building transcription software is IBM with more than 300,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
BigHand Speech Recognition
Verbit.ai
Axiell Collections Management
Deepgram
Trint
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all Transcription Software companies. The most positive word describing Transcription Software is “Easy to use” that is used in 10% of the reviews. The most negative one is “Difficult” with which is used in 2.00% of all the Transcription Software reviews.
According to customer reviews, most common company size for transcription software customers is 1-50 Employees. Customers with 1-50 Employees make up 58% of transcription software customers. For an average Conversational AI solution, customers with 1-50 Employees make up 23% of total customers.
These scores are the average scores collected from customer reviews for all Transcription Software. Transcription Software is most positively evaluated in terms of "Ease of Use" but falls behind in "Likelihood to Recommend".
This category was searched on average for 12.5k times per month on search engines in 2022. This number has decreased to 9.9k in 2023. If we compare with other conversational ai solutions, a typical solution was searched 814 times in 2022 and this decreased to 720 in 2023.