Software Alternatives, Accelerators & Startups

C2Call VS Google Cloud Speech API

Compare C2Call VS Google Cloud Speech API and see what are their differences

C2Call logo C2Call

C2Call offers SDKs for mobile and browser-based calling solutions.

Google Cloud Speech API logo Google Cloud Speech API

Cloud Speech offers speech to text conversion powered by machine learning.
  • C2Call Landing page
    Landing page //
    2019-04-01
  • Google Cloud Speech API Landing page
    Landing page //
    2023-08-04

C2Call features and specs

  • Ease of Use
    C2Call provides an intuitive user interface that simplifies the process of making voice and video calls, making it accessible to users of varying technical expertise.
  • Cross-Platform Compatibility
    The service is designed to work across different devices and operating systems, allowing for seamless communication between users on desktops, tablets, and smartphones.
  • Rich Communication Features
    C2Call offers a variety of communication options including voice calls, video calls, and instant messaging, catering to diverse communication needs.
  • Web-Based Client
    Users can access C2Call directly from their web browsers without the need for additional software downloads, enhancing accessibility and reducing setup time.

Possible disadvantages of C2Call

  • Limited Adoption
    C2Call may not be as widely adopted as some other communication platforms, potentially limiting the user base and network effects.
  • Feature Limitations
    While it offers basic communication features, C2Call might lack some advanced functionalities that are available in other, more established platforms, making it less appealing for some users.
  • Potential Quality Issues
    As with many web-based communication tools, there may be occasional issues with call quality due to internet bandwidth variations and other technical factors.
  • Security Concerns
    Users might have concerns over the security and privacy of their communications, depending on the encryption methods and data protection policies implemented by C2Call.

Google Cloud Speech API features and specs

  • High Accuracy
    Google Cloud Speech-to-Text provides high accuracy in transcription, particularly for common languages and dialects, due to its advanced machine learning models.
  • Multi-Language Support
    The API supports a wide range of languages and dialects, making it versatile for global applications.
  • Real-Time Processing
    It offers real-time streaming capabilities, allowing users to transcribe spoken content live.
  • Noise Robustness
    It can transcribe audio accurately even in noisy environments, as it is designed to filter out background noise effectively.
  • Customization
    Provides options for customizing speech recognition models to improve accuracy for specific vocabularies or phrases unique to a business or industry.
  • Speaker Diarization
    This feature enables the API to distinguish between different speakers in an audio file, which is useful for meetings or interviews.

Possible disadvantages of Google Cloud Speech API

  • Cost
    The service can become expensive, especially with high-volume usage or for small businesses with limited budgets.
  • Latency
    In some cases, there might be noticeable latency in processing audio inputs, particularly for very large files or poor network conditions.
  • Data Privacy Concerns
    Sending audio data to the cloud raises potential privacy and data security issues for sensitive information.
  • Internet Dependency
    Requires a stable internet connection for processing, which might be a limitation in areas with poor connectivity.
  • Complexity in Customization
    While customization is available, it can be complex and require a good understanding of model training and tuning.

C2Call videos

How to create a Simple Dialer App using C2Call SDK [iOS Tutorial]

More videos:

  • Tutorial - How to create a Simple Dialer App using C2Call SDK [Android Tutorial]
  • Tutorial - How to create a Simple Dialer App using C2Call SDK - iOS 8 Update [iOS Tutorial]

Google Cloud Speech API videos

No Google Cloud Speech API videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to C2Call and Google Cloud Speech API)
Messaging
18 18%
82% 82
Communication
13 13%
87% 87
Customer Engagement
22 22%
78% 78
Voice And Messaging API
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Speech API seems to be more popular. It has been mentiond 44 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

C2Call mentions (0)

We have not tracked any mentions of C2Call yet. Tracking of C2Call recommendations started around Mar 2021.

Google Cloud Speech API mentions (44)

  • What the Best Coding Copilots Can Do for You in 2025
    *- Speech Pipelines * Copilots can generate ready-to-use code for speech-to-text and text-to-speech using APIs like OpenAI Whisper, Azure AI Speech, and Google Cloud Speech-to-Text. For example, a developer can ask for a transcription setup in Python and get working code within seconds โ€” useful for customer support, meeting notes, or language learning apps. - Source: dev.to / 10 days ago
  • GCP Fundamentals: Cloud Speech-to-Text API
    Google Cloud Speech-to-Text API is a powerful tool for transforming audio into actionable insights. Its accuracy, scalability, and customization options make it a valuable asset for a wide range of applications. By understanding its features, capabilities, and best practices, you can unlock the full potential of speech recognition and build intelligent applications that understand and respond to the world around... - Source: dev.to / 3 months ago
  • The Technology Behind YouTubeโ€™s Auto-Captioning System
    Google, YouTubeโ€™s parent company, has invested heavily in speech recognition research. Their Cloud Speech-to-Text API is one of the most advanced in the world, and its technology forms the backbone of YouTubeโ€™s captioning system. The API uses neural networks to process audio, identify phonemes (the smallest units of sound), and assemble them into words and sentences. - Source: dev.to / 5 months ago
  • Cloud Solutions vs. On-Premise Speech Recognition Systems
    Cloud-based speech recognition solutions, such as Google Cloud Speech-to-Text and Microsoft Azure Speech, have gained popularity due to their accessibility, power, and scalability. Developers gain access to ready-to-use APIs with high-quality speech recognition models. However, behind this convenience are several important technical aspects that need to be considered when choosing a cloud solution. - Source: dev.to / 10 months ago
  • Developing Apps with Speech Recognition
    APIs from Major Providers. Leading tech companies offer SDKs that support on-premise speech recognition, such as Lingvanex On-premise Speech Recognition, Googleโ€™s Speech-to-Text and Microsoftโ€™s Speech SDK. Although these may offer more functionalities, itโ€™s essential to evaluate their suitability for local processing. **Custom Solutions. - Source: dev.to / 12 months ago
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What are some alternatives?

When comparing C2Call and Google Cloud Speech API, you can also consider the following products

Gupshup.io - GupShup provides a scalable and reliable cloud messaging platform.

Twilio - Brings voice and messaging to your web and mobile applications.

smooch - Smooch connects your business software to all the worldโ€™s messaging channels for a more human customer experience.

TeleSign - TeleSign offers end-to-end communications Platform as a Service.

Plivo - Plivo simplifies your customer engagement.

Nexmo - Nexmo is a simple two way SMS API with global reach and wholesale rates