Podcasting isn't cheap:

Producing a podcast is expensive. The initial investment alone for the podcast equipment, studio, and other required managerial resources can be costly.

Creating a professional-level podcast production team can even cost up to $200,000, because of this sound mixers and audio engineers are usually burdened with maintaining the quality of the audio which takes up a lot of time hence resulting in less productivity.

Even if you're trying to do everything on your own with cheap or free software, it's difficult to get started.

Creating podcasts on a large scale usually requires much higher inputs in the form of time and resources, which creates an additional financial burden on the studio house.

So, is there any way to keep your inputs constant, while increasing the audio outputs without compromising on the quality?

Management Issues at Large:

When podcasting, multiple people must be involved in the publishing process to ensure that the finished product is up-to-par.

For attaining the final result teams are dependent on each other, combining their different expertise and acquiring feedback from one another until something is completed.

Many times, taking this "traditional" approach may not be a suitable option for frequently distributing audios at a large scale even if the resources like time or money play a crucial role.

Add to it having multiple people work together on projects creates complexities during the project.

All these management issues can lead to a delay in final audio production, resulting in a loss.

Time-Constraints:

One unique way for large podcast production studios to grow their success rate is to increase both the number of podcasts that they produce and the channels in which they're served.

This will allow you to tap into a larger market share. Uploading more episodes per week means a lot more time spent recording, editing, distributing, etc., and we can already sense your face cringing at all of that thought process!

And because we understand it might seem like a less than ideal approach, it's a standard process that has been followed for decades.

Growing Market Share:

Increasing profitability is directly proportional to increasing the number of on-air podcasts. Many big media houses are now acquiring small podcast studios to expand their business to facilitate more podcasts in their catalog.

What is Deepsync AI?

Deepsync AI allows users to use their voices to create high-quality audio files without recordings of podcast scripts.

We address the large scalability problems that studios face when recording speech content collectively by employing a realistic voice cloner and artificial intelligence approach to achieve superior quality results with minimum input.

Our original approach to generating synthetic media is true to life. The application brings powerful technology down into the hands of podcast producers through a simple and intuitive interface, i.e., the Deepsync dashboard.

How We Help Podcast Creators?

Deepsync has been working with the largest media houses worldwide for a few years and supporting them with the best-in-class AI voice cloning and podcast production services. Check out a few of the ways we have been helping them produce top-notch podcasts.

Voice Cloning: We created the technology to create realistic voice clones for any voice with unmatched precision. Our proprietary deep generative modeling techniques digitally recreate the characteristics of your target host's voice, from tone to cadence, giving you an authentic and convincing bespoke audio recording.

Our AI voice cloning functionality is great for podcast studios and producers looking to get their production work done with less effort without sacrificing quality. Deepsync equips them with a superpower, where they can easily clone any person's voice and reproduce scalable audio content on demand.

Bringing scripts to life: Once the host voice has been cloned and saved in our systems, you have full control over your digital studio.

Create realistic audio files by providing a written script on our dashboard. Our tool analyses the script and produces it in the host's voice in real-time.

Once you provide the link to the page, our tool can also extract written contents from the page, making it extremely easy for team collaboration. You can experiment with multiple scripts on the dashboard and see your saved scripts.

Multi-lingual Support: Multi-language audio cloning is a breeze with Deepsync, which can clone and create audio for more than ten languages.

It's especially useful for large studio teams working simultaneously but are located in different parts of the world as it makes jumping into any project and starting on a new track a cinch!

This helps to streamline podcast production - especially when all team members need sound replacements, cleaning up, or even editing any tidbits.

Collaboration Made Easy: While we know how much you love creating podcasts, managing the entire team with everyone having different sets of work is not easy.

This is where Deepsync helps. You see, this amazing collaboration solution easily brings your complete team to a single interface and streamlines your entire podcast production process without any hassle!

All steps required in making podcasts, from writing scripts, editing audio files, creating a custom voice dictionary to adjusting sound quality, can be shared with everyone via the dashboard - keeping everybody on track even while they are working wherever they may be.

Audio Editing Tools: Deepsync makes the post-production process more efficient because you can work on high-quality audio files from our dashboard.

The AI-powered tool automatically does the basic editing work, like removing hums and clicks from the audio file, and creates high-quality files (44.1 kHz) available for download.

You can also do your post-production work here, like adding intro/outro to processed audio files, working on sound transitions, or mixing and mastering your podcast.

What is Deepsync's output quality?

Digital audio comprises discrete values or samples of sound waves. A sample is like a freeze-frame of the wave, taken at a specific point in time.

The number of samples per second, also known as the sampling frequency, determines the "quality" of the sound. Higher frequencies can create a better quality sound, but some trade-offs need to be accounted for.

For podcasts, 44.1 kHz is typically the standard sample rate for audio files, producing high-quality sound with clarity. Deepsync automatically generates these files, thus saving you time and energy in post-production.

How Deepsync Enhances Conventional Podcast Production Process?

Podcasting isn't just about recording audio and uploading it online. There's so much more that goes into it, like planning, recording, editing, and publishing.

Deepsync helps the team be more efficient by giving them enough time to plan out the content they will publish, while the production process can be done in real-time with AI technology.

No matter how many episodes you publish, the podcast production software will remain the same and not be affected.

Some of the challenges faced while creating a podcast with conventional techniques like continuous work and rest, proper recording tools, and management of different stakeholders can be simplified by using the new AI way.

A brief comparison table between the conventional podcast production process and the AI process is given below.

Use-Cases:

Studios:

Get high-quality audio files

Manage team at a single place

Create at scale

Producers/ Creators:

Easy to use

Hassle-free podcast production

Flexibility during production

Ad-Companies:

Create short audio ads

Sync in the main podcast using the editing tool

Create unique multiple ads for different platforms

How can Deepsync Benefit Your Organisation?

a) Have 30 Podcasts on Air at once: Do you ever wish that you had more than 10 active podcast series so that you could address multiple audience types with specialized content? With Deepsync AI voice generator software, you can have more than 30 active podcasts at once, each voiced by different actors.

These are all created in real-time using AI and then distributed with a single click.

b) No ground for Errors: Involving numerous team members in your project can sometimes make it challenging to produce more cohesive work, as some may make errors unintentionally.

That's why it's wise to consider utilizing Deepsync as an alternative software solution.

Not only does Deepsync improve podcasting productivity, speeding up project turnaround time, but it also reduces human dependency, so you need only a single team member to operate the system ensuring limited wait times and a streamlined process!

c) Saving Time & Money: During the podcast shoot, any complication or interruption can cost you money and time.

As a producer, it's in your best interest to not have to worry about miscellaneous activities like hiring, setting up, and other day-to-day chores that come between you and creating great podcasts.

Deepsync AI will allow you to focus completely on the creative side of things, allowing you to produce better podcasts without having to worry about overhead costs or the more difficult parts of production.

d) Real-Time Podcast Creation: There is no time to waste if you're going to be able to share live news as quickly as possible. Deepsync enables you to publish your podcast with almost immediate results. It takes just five minutes, and it can be shared with a single click on most platforms.

This makes it simple to reach out to your audience in the shortest amount of time possible, giving them the information they need before getting bored or moving on to the next breaking news story!

e) Perfect Cloned Voice: Our state-of-the-art, deep learning technology replicates your voice in near-perfect detail and quality.

The audio is processed, analyzed, and replayed by our system with a high degree of precision in an indistinguishable manner, creating a clone that audiences cannot differentiate from the original.

f) Only a Subscription Away: A cost-effective and realistic AI voice generator can replace the pains of podcast production with a single unified dashboard. All these things can be yours with a simple subscription which you can get at www.deepsync.co

g) Privacy & Security: We've created a safety kit using different measures to ensure your data is safe and secure. Our company has invested in achieving SOC 2 and ISO 270001 certs globally that ensure you can trust us to keep your information safe. Your voice recordings are encrypted.

How to use Deepsync?

Check out the simple ways to get started with Deepsync.

Step1: Provide Sample Audio Files: Deepsync learns to speak like your voice using the generative deep learning technology in the first phase.

Inputs Required:

Voice Samples: Include your clear voice sample that can be cloned using Deepsync. You can get a similar sounding voice by providing large sample data, usually 10-20 hours long.

Clear & Crisp Voice: Try to record the audio in a quiet environment, so there is no distortion in your sample audio files.

Step 2: Input Script: After you have provided sufficient sample audio data, it takes some time for the AI model to understand your voice, accent, expressions, and pause with precision.

You would need to provide written scripts/URLs on the dashboard's script window, translated to high-quality audio files by Deepsync AI voice studio.

Step 3: Post-Production Edit: Engage your team members to do the post-prod editing work on the dashboard in real time.

Step 4: Distribute & Share: You can download the podcasts, distribute them on different channels and view the analytics, all at a single dashboard using Deepsync.

Deepsync Dashboard: A New Podcasting World:

We believe Deepsync AI to be the most advanced and the most realistic voice generator on the web.

Deepsync is a unique AI-based voice synthesizer that uses the latest deep learning technologies to enable the user to make realistic-sounding voiceovers with a single click.

Our system uses the cutting-edge technology of neural networks to train itself, which allows it to make completely realistic sounding voiceovers.

Yes, AI can generate similar voices and help you with your podcast creation. Deepsync is a revolutionary technology that can create audio files in any voice, accent, and dialect. Primarily, Deepsync uses trained Deep Neural Networks to create audio samples.

The power of Deepsync comes from its ability to create any voice based on the parameters specified by the client. To use Deepsync to create audio files, it is necessary to use high-quality audio samples for training.

The audio samples can come from voices recorded through various means, including traditional recording equipment and software such as Audacity.

However, Deepsync can also work with a single audio sample recorded through a microphone. It means that the user can use his voice to produce the samples.

Yes, it is possible to clone a voice using our generative AI tool. A voice clone is created using a dataset of speech or voice and a neural network to train the model to generate outputs based on the inputs.

With a long-length voice sample, Deepsync AI can clone a voice perfectly to match the natural voice in terms of attenuation, pitch, pauses, and amplitude. Deepsync can work on both fixed-length audio snippets and raw audio files.

Suppose a podcast can be recorded using this AI voice generator. What are the possibilities of syndicating it to different audio platforms?

Hence, we understood the problem and have made Deepsync capable enough to automatically share your created audio files/ podcasts to more than 10 different podcast channels. You can use it on our dashboard, where you can distribute and analyze your podcast's performance with a single click.

Yes, Deepsync can help people with low voices create podcasts. Deepsync is a speech synthesis technology with a focus on natural human voice.

You can use Deepsync for your audio editing and processing. You can change the pitch of the audio. In order to create a podcast, you need to edit audio, do minor corrections, improve it and add narration.

Deepsync is indeed very accurate in cloning the customers' voices. The accuracy and precision of cloned audio data also depend on the sample data sets provided in the form of sample audio files. The more sample data there, the higher levels of accuracy can be achieved.

We protect users' data with a few different things. We ensure that each data has a single owner and is not shared amongst different accounts. Also, we make sure that the data is encrypted so that no one can use any data from the data store in an unauthorized way.

To learn more about how Deepsync works check out our guides.