Check out our list of free Voice Recognition Software. Products featured on this list are the ones that offer a free trial version. As with most free versions, there are limitations, typically time or features.
If you'd like to see more products and to evaluate additional feature options, compare all Voice Recognition Software to ensure you get the right product.
Express Scribe is an audio player specifically designed for typists and transcription work. Featuring foot pedal control, variable speed, speech to text engine integration and support for a wide variety of audio formats including wav, mp3, wma. Audio recordings can be loaded automatically from CD, email, LAN, FTP, local hard drive and Express Delegate. Traditional hand held dictation recorders can also be docked and the audio transferred. Features a Mini version to reduce the applications screen
Speech-to-Text you can count on. Don't settle for poorly supported APIs offered up by big tech. Start building with our high accuracy, state of the art Speech-to-Text API today. - State of the Art Accuracy: Our API is powered by state of the art Deep Neural Networks. Our research team is constantly improving, and we release improvements every few weeks. - Customizable for Higher Accuracy: Boost accuracy for keywords and phrases, or share audio data with us for a custom-trained Acoustic Model.
Watson Speech to Text is a cloud-native solution that uses deep-learning AI algorithms to apply knowledge about grammar, language structure, and audio/voice signal composition to create customizable speech recognition for optimal text transcription. Check out Watson Speech to Text in action, with our live demo: http://ibm.biz/speechtotextdemo
Deepgram is the leader in enterprise automatic speech recognition (ASR) for call centers and software providers. With our patented end-to-end deep learning approach, data scientists get access to the industry's fastest, most accurate and highly scalable speech to text (STT) technology. We take the heavy lifting out of noisy, multi-speaker, hard to understand audio transcription, so you can focus on what you do best. Key features: - Accuracy. Achieve 70 - 95% accuracy with general and custom t
OTO provides conversational AI companies with empathetic voice bot conversations and voice intonation analytics within 20 hours. Teach your bot to understand speakers´ emotions and act accordingly. Let your voice bot understand speaker intonation to become empathetic. Allow your voice bot to identify different speakers. Our API allows companies to start analyzing 100% of in-call conversations within a couple of hours. Sign up for a free trial and start analyzing your call data!
Talkatoo is reinventing speech to text software by making it easy to use and cross-platform. We are a fast-growing, funded startup. Our SaaS software works on Android, iOS, PC, Mac, and digital assistants.
Voice recognition software, also called speech recognition software, can be thought of best as intelligent transcription software. Most of these products will transcribe the spoken word, in real time or from an audio file, into data or text. This information can then be presented in the form of a document or inside of an editable text box. The transcription data does not have to be used as text, however. Some voice recognition tools are used primarily for their speech recognition component and are implemented in products that feature voice commands.
Refining your software search to industry-specific tools may be beneficial if your business requires certain security standards or a comprehensive software suite. Buyers operating in the financial industry need to take into consideration existing customer service tools as well as rules regulating the storage and transfer of financial data. Similarly, health care companies need to take into consideration HIPAA data security rules when looking for a voice recognition software. Additionally, many voice recognition software tools offer industry-specific transcription features. This is especially helpful for users looking to automate their transcription process even if they use medical or legal jargon.
While many voice recognition software tools offer translation services for transcribing speech to text from one language to another, it’s important to remember that tools in this category each accommodate different languages. Your software may not only support a limited number of languages, it may also limit certain functionalities to more popular languages. Your business will have to determine existing language needs as well as future demands.
Key Benefits of Voice Recognition Software
Many people use voice recognition software on a daily basis without thinking about it. Every virtual assistant built into a smartphone uses speech recognition software to listen to a user for their voice commands. Customers calling into a support line will often be met with chatbot software using voice recognition-triggered prompts to route them to the correct representative or department.
Streamlined transcription — The process of collecting and transcribing information manually is incredibly taxing regardless of profession or industry. Across disciplines, professionals from all corners use voice recognition software to rapidly transcribe everything from emails to texts to full written works.
Translation — Some voice recognition tools are able to natively and automatically translate the spoken word into another language. Most of the time, these products will produce a text document of the translation, but there are some offerings that will output an auditory translation. However, these products can be difficult to find, especially if one is looking for support for a specific language.
Voice recognition tools can be helpful in translation effort indirectly. Translating text tends to be easier than attempting to translate the spoken word, either in real time or from a recording. Speech recognition software can create a text document in one language, which can then be translated using outside resources.
Accessibility — Speech recognition software is an indispensable asset in accessibility efforts. Voice recognition software is used in closed-captioning services for those who are hard of hearing or deaf. They can also assist individuals with language difficulties or those who need assistance with writing. Voice recognition technology can be used in efforts related to compliance with the Americans with Disabilities Act (ADA) or similar forms of legislation.
Typing and transcribing can take up a lot of a person’s day, both at work and at home. At face value, most professionals type countless emails a day, but that doesn’t count all the time spent typing up personal text messages or using search engines. Voice recognition software allows users to do all or at least some of these tasks using just their voice, taking some of the load off our poor wrists and hands.
While speech recognition software has extensive generalized use, listed below are some specialized use cases. This list is by no means exhaustive, and industries are exploring new and innovative uses for voice recognition tools all the time.
Health care — Hospitals and clinics will use voice recognition software to quickly collect patient information and record clinical documentation. Medical transcription can be offered as either a software or a service and can save hospitals countless hours and capital on record keeping. Transcription products intended for use in health care take into consideration HIPAA compliance, while generalized voice recognition tools do not.
Law — Many law firms will employ a voice recognition tool for the extensive bookkeeping and data entry that comes with running a practice. These products can assist with other activities such as task management and client communications as well.
Voice recognition and transcription is also sometimes used in the courtroom to record legal proceedings. In both cases, products intended for use by legal professionals take into consideration regulations that general voice recognition tools don’t normally have to follow.
Customer support — Voice recognition capability is a popular feature within many chatbot offerings. When a customer calls in to a customer support line, the call usually will begin with the customer interacting with a chatbot to narrow down their issue and route them to the correct department. Voice recognition software is used to collect and process a customer’s answers to the prompted questions.
Disability services — Since its advent, voice recognition has been used in software and services geared toward those with disabilities. Speech recognition software is behind much of the closed captioning for television and video media. Voice recognition tools are also used by those with limited use of their hands to transcribe their thoughts.
While all voice recognition tools are the same at their core, the intricacies of how they recognize voices and their use case create extensive variability in the space.
Speaker dependent systems — Some voice recognition requires "training" to adjust itself to a specific speaker’s voice. The software will ask the user to say a series of words and phrases in order to attune itself. The process doesn’t take very long and is in the interest of enhancing accuracy. Speaker-dependent voice recognition is typically featured in products that will be used by a specific individual, like a smartphone or transcription tools for those with disabilities.
Speaker independent systems — Not all voice recognition software requires training, and many can recognize most voices outright. These types of speech recognition tools are more commonly used in systems that will have many different speakers, such as customer service bots. While these products are convenient, they are not always as reliable or accurate in discerning words or commands, since they are more broadly focused. This can especially be the case when considering regional accents or dialects.
Discrete speech recognition — Discrete speech recognition tools require users to speak word by word so it can process each one. These products are often implemented by simpler systems that will only ask users for one-word commands.
Continuous speech recognition — Unlike discrete speech recognition, continuous speech recognition software is capable of understanding a normal rate of speech. While this is a more popular type of voice recognition, not all products will require more than a word or two from a user, and a discrete speech recognition tool may be more than sufficient.
Generalized voice recognition software will often provide many of the same base features. However, many voice recognition tools are specialized and intended for specific industries. These products will often offer features reflective of the needs of those with specialized use cases.
Text transcription — The software transcribes the user’s spoken word into a text document or text box.
Text translation — The software translates a user’s spoken word into another chosen language in real time.
Vocabularies — Voice recognition works by matching a spoken word to a list stored in its vocabulary. Many software offerings allow users to add words to the vocabulary if they don’t already exist there.
Audio playback — Almost all speech recognition products allow users to play their audio recording back to look for errors and potentially spot misrecognized words.
Commands — Many voice recognition tools used for translation or transcription also feature voice commands that can open and close the software, open documents, and make font changes.