Ross Simmonds (CEO@TheCoolestCool) predicts that Audio driven AI will have multiple use cases including podcasts with synthetic voices, interviews with AI-driven voices, synthetic singing and rapping, etc.
For any advanced initiative, information technology is looked upon. Whether it is experimenting in the operations, marketing, sales, customer service, or cybersecurity, IT has always made a competitive differentiation. The current advancement in the technology that we often hear is Generative AI.
If you compare from the past year, more organizations have invested in GenAI. Deloitte surveyed that 28% of IT, 11% of operations, and 10% of marketing sectors have taken most advanced initiatives, including GenAI adoption. On further survey, it was observed that the organizations invested in GenAI reports to have measurable ROI.
Along with automation, Gen AI is also used by creatives for photos and video editing. It is also widely used by those who want to edit their audio content.
Yes, AI is also openly used for creatives like podcast recording and editing spoken content. One of the software integrated with AI is Audacity.
- Audacity – Empowering Audio Creatives
- Must-Have Features in a Mobile App like Audacity
- Benefits of Developing AI-embedded App Like Audacity
- What Does The Stats Say?
- Technology Stack Used for Developing An AI Voice Recorder App
- Audacity Alternatives To Consider
- Step-by-Step Process to Develop an App Like Audacity
- Cost and Factors To Develop An AI Voice Recorder Application
- Use Cases: Where Voice Recorder Apps Are Making an Impact
- Final Words
- Frequently Asked Questions
Audacity – Empowering Audio Creatives
Audacity is an open source AI-embedded platform preferred by musicians, podcasters, file recorders, educators, and bedroom producers. The software is dedicated to a passionate community of audio lovers who wanted to get creative with sound.
Since Audacity is a free-to-use creative tool, hence it has millions of users. Apart from being an open-source platform, its features are more favored.
If you want to develop a similar app like Audacity, you must incorporate certain features that the app contains.
Must-Have Features in a Mobile App like Audacity
1. Beats and Measure Grids
To create an Android app like Audacity, you must allow users to align their project with audio clips and musical tempo. Integrating grid will help users to snap their clips to the nearest beat.
2. Time Stretching
Another feature to incorporate in an AI voice recorder app should allow users to change the duration of their audio clips. Integrating the time stretching algorithm helps to outperform the commercial options.
3. Exporter
From native file browser to accessing all bookmarked folders, the exporter feature leverages users to export files hassle-free from a single window. Incorporating this feature will let users seamlessly share their project with others.
4. Realtime & Master Effects
Adding this feature is a must to make your voice recorder app stand out. Master effects are for those who want to add professional track mixing or change or avoid applying the effect on audio.
5. Crossfades
This feature helps in blending two songs together. You can either mix two clips in one track, or position tracks one after the other.
Read More: How to Develop an AI Voice Assistant App like Siri?
6. Changing Speed
This feature is far more advanced than it sounds. You can play with the speed of the track, change its tempo, artefacts, and pitch. Audacity allows users to change their speed of audio with or without changing the pitch of the clip.
7. Mixing and Panning Tracks
The most fundamental feature for users in an AI voice recording app is by allowing them to adjust the volume and panning of each track. Users must also be able to mix tracks as per their choice and replace the existing ones to improve the performance.
8. Compressor/Limiter
Just like Audacity offers several tools to help reduce the dynamic range & loudness of a track, your software must do the same. Integrating compressor and limiter is an effective & favorable feature to draw a nice curve to the audio note.
9. Splitting Tracks
Just like Audacity, your application must allow users to separate the songs used in long recordings. Along with splitting the tracks, Audacity also allows its creative enthusiast to create new labels on their audio track, export them, create backups, etc.
10. Macros
This new and advanced feature of Audacity is exceptional. This feature allows users to connect multiple commands. This feature automates repetitive tasks with manage macros and macro palettes.
Benefits of Developing AI-embedded App Like Audacity
- Tracks or audio notes can be independently adjusted, which means users can make changes to individual notes. Audacity leverage arrangements of complex audio like creating harmonies in music.
- Apps like Audacity contain compression that helps in controlling the dynamic range of volume. It also contains equalization and delay effects that drive impactful music production.
- When you have a noise reduction quality within the application, it improves the quality and clarity of the audio. It also removes unwanted distractions, focusing entirely on the audio you add.
- When you have multiple elements to set tone and tempo of the audio with just a click, you save a lot of time. Certainly, automating redundant tasks is an advantage, and also improves consistency.
- Apps like Audacity also help its users to streamline their workflows. They can effortlessly and swiftly edit lengthy & whole batches of audio and podcast episodes.
- Audacity-like applications can handle complex compositions. With the help of AI algorithms, users can control pitch, expression, and time of the individual note.
If you are still confused on whether to develop a brand like Audacity, here are some of the stats to convince you.
What Does The Stats Say?
If you look at the global digital audio workstation market, it was valued at $2.95 billion in 2023 and is projected to grow by $6.34 billion in 2032.
Audacity has become popular and is often used by AI voice assistance app development companies and educational institutes in the US. Moreover, Audacity’s market share in the audio conferencing category is 8.99%.
Technology Stack Used for Developing An AI Voice Recorder App
In order to create a perfect audio recording and editing application like Audacity, you must be well aware of the technology stack integrated within. The following tech stack is meant to run complex audio editing tasks seamlessly.
Speech Recognition and NLP: These are essential technologies that help in creating accurate subtitles. Natural Language Processing and Speech Recognition are intelligent technologies that can interpret and correspond to diverse spoken language swiftly.
Noise Identification: One of the parts of artificial intelligence that allows seamless separation of speech from noise. The AI algorithms smartly understand and ensure that the vocals are clear and audible amid background disturbances.
Voice Synthesis: Smart and quick learner Artificial Intelligence can recreate or copy human voices. The component deep learning is responsible for observing and imitating vocals.
Instant Processing: Sometimes you require instant adjustments to your audio note. Here, AI can also assist best in adjusting live events and meetings when audio notes need refinement.
Machine Learning: Another salient & influential feature of Artificial Intelligence is ML. Artificial intelligence development company, when creating a similar app to Audacity, should integrate ML embedded with AI audio tools. The frameworks of Machine learning and data sets can be trained to refine different sound aspects.
Audacity Alternatives To Consider
The table holds just a few freemium alternatives to Audacity. However, there are many more in line that are free as well as paid to use AI tools, the below are the popular ones.
Alternatives of Audacity | Features |
Descript | Intuitive editing and AI-driven tools |
Krisp | AI-driven noise cancellation |
Riffusion | AI-driven and Lyrics Transformation |
Mubert | Royalty-free music creation tool |
Uberduck | AI-powered singing, rapping, and custom voice creator |
Adobe Podcast | Web-based enhancement embedded audio editing tool |
Vocal Remover | Music track transformation AI-embedded tool |
Baetoven.ai | Tool for converting text into royalty-free music |
Shownotes | Audio handling, editing, summarizing, and transcribing |
Step-by-Step Process to Develop an App Like Audacity
Developing a perfect and feature-rich AI audio recording and editing application like Audacity requires a step-by-step process to follow.
Conceptualization: This is the first step in developing a feature-rich audio editing and recording application. Gathering list of features and user interface is essential during this phase of development.
Designing: After gathering requisite information, it’s time to jump to the next stage, designing. Designing wireframes helps in understanding how the application will look and how its features will interact.
Development: This is the most significant step which ensures the success of the entire application. Choosing the right programming language, frameworks, and APIs ensures the robust, smooth, and secure application development.
Testing: When you have integrated core features and functionality, it is time to test them. Testing helps in identifying and addressing potential issues, i.e, hardware configuration, compatibility, loading time, etc.
Deployment: Launching the application on popular marketplaces like App stores helps captivate potential users. Creating installers for MacOS, Windows will leverage the software with a large user base.
Cost and Factors To Develop An AI Voice Recorder Application
Factor | Estimated Cost ($) | Estimated Time |
Basic App Development (MVP with core features) | $15,000 – $30,000 | 3-6 months |
Advanced Features (AI-powered noise cancellation, transcription, voice modulation, etc.) | $30,000 – $60,000 | 6-9 months |
UI/UX Design (Basic to premium design) | $5,000 – $15,000 | 1-2 months |
AI Model Development & Integration | $20,000 – $50,000 | 3-6 months |
Backend Development & Cloud Storage | $10,000 – $30,000 | 2-4 months |
Third-Party API Integration (Speech-to-text, cloud storage, authentication, etc.) | $5,000 – $20,000 | 1-3 months |
Security & Compliance (Data encryption, GDPR compliance) | $8,000 – $25,000 | 2-4 months |
Testing & Deployment | $5,000 – $15,000 | 2-3 months |
Maintenance & Updates (Annual) | $10,000 – $30,000 | Ongoing |
However, the table explains the cost and factors that influence it when developing an app like Audacity. There are a few things that must be considered when developing or partnering with an Android app development services provider for the same.
Influential Factors
Complexity: Integrating advanced or complex AI capabilities will enhance costs.
Model Training: Integrating deep learning and training models is costlier than a third-party API.
Platform: Considering Hybrid or cross-platform development instead of individual platform development influences the cost.
Storage: Server and cloud storage too add up to the costs.
Team Location: You must consider regions that have low development rates in order to hire developers without breaking the budget.
Read More: How To Develop AI Personal Assistant App Like Google Assistant
Use Cases: Where Voice Recorder Apps Are Making an Impact
AI voice recorder can be used in many places. The powerful software, such as Audacity, companies and educators can use in real-time to improve their work.
– Meetings
AI voice recorders can smartly record requisite conversations that can be used to make proposals or documents. AI can help in removing the noise to understand the voice clearly without hassle.
– Interviews
Smart AI voice recorder can help in recording fast-talking candidates and edit for clear conversations. Furthermore, noise can be erased to have a clear understanding of gestures and emotions.
– Speech Improvement
AI-embedded voice recorder and editing applications are best for improving speech. Voices can be adjusted to make it sound appealing and remove mumblings and delays for continuity.
– Lectures
Digitally recorded voices are also used by educators for lectures. It is most helpful for students to keep track of important points and not miss anything.
– Children’s Audiobook
AI-recorders are also used as a means of entertainment for toddlers and children. Along with education, toddlers can listen to their bedtime stories in their preferred voice.
Final Words
AI-embedded voice editing and recording are extensive software that not only help educators and children but are also an appropriate tool for budding creators and podcasters. Assistance of a call recording app development company can develop a feature-rich and exceptional interface AI app like Audacity. So, you can always start your creative business.
Frequently Asked Questions
Essential features include AI-powered noise reduction, voice transcription, multi-track editing, waveform visualization, cloud storage, and support for multiple audio formats.
The cost ranges from $15,000 – $30,000 for a basic version and $50,000 – $100,000+ for an advanced app with AI-driven features.
Tech stack includes React Native, Swift, Kotlin (Frontend), Node.js, Python (Backend), TensorFlow, OpenAI Whisper (AI/ML), AWS, Firebase (Cloud & Storage).
Development time varies: 3-6 months for a basic app, 6-12 months for AI-integrated features, and 12+ months for an advanced version.
Challenges include real-time audio processing, AI accuracy for speech-to-text, cross-platform optimization, cloud storage management, and data security.