
An AI based accessibility tool enables websites to be accessible among people with hearing or vision impairments, motor impaired, color blind, deaf, dyslexia, cognitive & learning impairments, seizure & epileptic, ADHD, elderly, and Parkinson. It installs in just 2 minutes. It helps to reduce the risk of time-consuming accessibility lawsuits by improving accessibility compliance for the standards WCAG 2.0, 2.1, 2.2, ADA, Section 508, European EAA EN 301 549, Canada ACA, California Unruh, Israeli Standard 5568, Australian DDA, UK Equality Act, Ontario AODA, Indian RPD Act, GIGW 3.0, France RGAA, German BITV, Brazilian Inclusion law LBI 13.146/2015, Spain UNE 139803:2012, JIS X 8341, Italian Stanca Act, Switzerland DDA & more. It supports all types of CMS, LMS, website builders, hosting, ERP, HMS, PMS, ecommerce platforms, CRM, or any. It supports GDPR, HIPAA, CCPA, SOC Type 2, ISO 9001:2015, and ISO 27001:2022.
Following are the features of the All in One Accessibility®:
- AI Screen Reader
- Accessibility statement
- Accessibility interface for UI design fixes
- Free Accessibility Statement Generator
- Supports 190+ languages
- Voice Navigation
- Talk & Type
- Libras (Brazilian Portuguese) Sign Language
- Dashboard Automatic accessibility score
- AI based Image Alternative Text remediation
- AI based Text to Speech Screen Reader
- Select Screen Reader Voice
- Auto-detect language
- Keyboard navigation adjustments
- Content, Color, Contrast, and Orientation Adjustments
- Custom widget color, position, icon size, and type
- Dedicated email support
Available paid add-ons:
- Manual accessibility audit
- Manual accessibility remediation
- PDF accessibility remediation
- VPAT and ACR
- White label subscription,
- Live site translation
- Modify accessibility menu
- SkynetAccessibility Scanner
- Video Subtitle
- Voice Search
Kick-start website accessibility enhancements with 10 days free trial or Buy now.
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An API driven by Google's AI capabilities enables precise transformation of spoken language into written text. This technology enhances your content with accurate captions, improves the user experience through voice-activated features, and provides valuable analysis of customer interactions that can lead to better service. Utilizing cutting-edge algorithms from Google's deep learning neural networks, this automatic speech recognition (ASR) system stands out as one of the most sophisticated available. The Speech-to-Text service supports a variety of applications, allowing for the creation, management, and customization of tailored resources. You have the flexibility to implement speech recognition solutions wherever needed, whether in the cloud via the API or on-premises with Speech-to-Text O-Prem. Additionally, it offers the ability to customize the recognition process to accommodate industry-specific jargon or uncommon vocabulary. The system also automates the conversion of spoken figures into addresses, years, and currencies. With an intuitive user interface, experimenting with your speech audio becomes a seamless process, opening up new possibilities for innovation and efficiency. This robust tool invites users to explore its capabilities and integrate them into their projects with ease.
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Cartesia Sonic-3.5
Sonic 3.5 is Cartesia's pinnacle of text-to-speech innovation, designed for fluid voice synthesis with a remarkable latency of less than 90 milliseconds and the capability to communicate in 42 languages. This advanced model excels at following transcripts accurately, vocalizing confirmation codes, and interpreting heteronyms seamlessly without requiring any preprocessing, all while embodying the expressive qualities necessary for authentic conversations. Its objective is to deliver speech that rivals native quality across a wide range of languages, prioritizing audio clarity in every output and eliminating any need for post-production adjustments. Sonic 3.5 stands out by providing high-fidelity audio, making it particularly suitable for production settings where quality, speed, and dependability are crucial. The model features a captivating conversational style with effective pacing and a genuine emotional spectrum, which is specifically tuned for various support and agent transcripts. Additionally, it articulates alphanumeric sequences—like order numbers, phone numbers, IDs, and email addresses—naturally in all supported languages, while its context-aware English pronunciation guarantees that words such as "read," "bass," and "bow" are articulated correctly according to their textual context. This remarkable sophistication in voice generation significantly enriches the user experience, positioning Sonic 3.5 as a frontrunner in the realm of text-to-speech technology. With its continuous enhancements, Sonic 3.5 promises to reshape how we interact with digital voices in the future.
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Grok Text to Speech (TTS)
Grok Text to Speech (TTS) is a standalone audio API designed to empower developers in swiftly generating natural and engaging speech from text. Leveraging the same technology that underpins Grok Voice, Tesla vehicles, and Starlink services, this API facilitates the seamless integration of high-quality voice synthesis across a diverse range of applications, such as digital assistants, voice agents, podcasts, accessibility tools, and customer interaction systems. With Grok TTS, users can transform extensive written content into audio using a REST API or generate speech in real-time via a WebSocket API, providing the versatility required for both batch processing and dynamic conversational tasks. The API focuses on delivering expressive and nuanced speech, instead of flat narration, by offering refined control through intuitive inline and wrapping speech tags. By utilizing these tags, developers can add emotional depth and natural prosody to the speech output, ensuring a more authentic delivery without the need for cumbersome markup. This capability positions Grok TTS as a critical asset for enhancing user interaction and fostering more engaging experiences. Furthermore, its ease of use and accessibility make it an attractive choice for developers looking to improve the auditory aspects of their applications.
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