JingleLark

JingleLark is an AI-powered radio jingle and voiceover maker designed for radio stations, DJs, show hosts, presenters, and independent broadcasters. It helps users create station IDs, radio sweepers, DJ drops, show introductions, sponsor spots, and other short broadcast elements without needing to book voice talent or learn a professional audio-editing application. The platform focuses on spoken radio imaging: users write the words, choose an announcer voice, and combine the generated voiceover with audio elements to produce a finished jingle.

The creation process is built around three steps. First, users enter a script or choose a template such as Radio ID, Sweeper, Show Tag, or DJ Drop. They can add their station name, DJ name, programme title, slogan, or promotional message. Second, they select an AI radio voice and generate the voiceover. Finally, they add an intro, background bed, and outro before building the finished audio. The platform is browser-based, so users do not need to install desktop software or learn a complicated editing timeline.

A key part of JingleLark is its collection of 24 radio voices arranged across six on-air roles. These include vintage radio DJ, late-night announcer, hype announcer, British presenter, and warm narrator styles. Users can preview the voices before creating an account and select a voice that suits the station or programme. The available voices are not restricted to higher-priced credit packages. Voice speed can also be adjusted within the supported range, allowing users to make a read sound more suited to a particular broadcast style.

JingleLark is designed to maintain a consistent sound across a station’s branding. Users can select a preferred voice and reuse it for station IDs, sweepers, show tags, and other pieces of imaging. This is useful for small stations that want their announcements to sound consistent even when different volunteers or presenters are preparing the audio. The tool also supports voice cloning: users can record or upload a short sample of their own voice, subject to having the right to use it. A cloned voice can then read scripts entered into the platform. Users can keep up to five cloned voices, and creating a clone is free; generating each voiceover still uses credits.

The platform includes a library of 88 audio elements: 45 intros, 28 background beds, and 15 outros. These sounds can be combined with a generated voiceover to create different versions of a jingle. Users can experiment with alternative intros, background tracks, and outros without paying for another voice generation. Mixing, previews, rebuilding, and downloading do not consume credits, so users can compare several arrangements before choosing the version they prefer. Each version remains available in the workbench for comparison.

JingleLark also handles aspects of the mix automatically. The background bed is lowered beneath the spoken voice using sidechain-style ducking, helping the announcement remain audible while the music plays. The platform trims unnecessary silence within sound effects and levels finished mixes to a broadcast-oriented loudness target of -16 LUFS. These features reduce the amount of manual audio adjustment needed when preparing short station elements. Users can focus on the script, voice, and sound selection rather than balancing every audio layer themselves.

The credit system is based on voice generation rather than the number of mixes created. A script of up to 220 characters costs one credit, while a longer script of 221 to 900 characters costs two credits. The maximum script length is 900 characters, which the platform estimates can produce approximately 70 seconds of speech, depending on the wording and speaking speed. If a voice generation fails, the credit is returned. Once a voiceover has been generated, users can build and download multiple mixes around it without spending more credits, provided the spoken words remain unchanged. A new script or a different voice requires another voice generation.

JingleLark supports scripts in approximately 30 languages. However, its standard AI voices are English-native, so a script in another language may be read with an English accent. Users who need a more natural local accent can create a voice clone from a speaker who has given permission. The platform states that cloned voices can read English, Spanish, Portuguese, French, German, Italian, Russian, Chinese, Japanese, and Korean. Users should preview a short sample before generating a complete set of announcements, particularly when pronunciation and accent are important to the audience.

Finished jingles can be downloaded as MP3 or WAV files. These formats can be imported into common radio playout and audio automation applications. The downloads are available without additional credit charges, and the platform states that its generated jingles are royalty-free for use on radio, podcasts, social media, and paid advertisements. Its licensing terms are intended to let stations and creators use the audio commercially without per-play fees or recurring renewals.

JingleLark is particularly relevant to internet, community, and hospital radio stations that need station branding but may not have the budget for a dedicated production team. DJs can create name drops and set openers, while presenters can prepare show introductions and segment stings. Small businesses and local sponsors can also use the tool to produce short spoken promotional spots. Its templates and reusable voiceovers make it practical for users who need several variations of a station announcement or promotional message.

There are some important limitations. JingleLark creates spoken voiceovers rather than sung jingles, and it does not compose original songs. Users must provide their own wording; the platform generates the spoken delivery and mixes it with selected audio elements. It is therefore better suited to station IDs, sweepers, spoken promos, DJ tags, and similar broadcast material than to musical brand themes or multi-character advertisements. It also does not sell its intros, beds, and outros as separate downloadable sound files.

JingleLark offers a focused workflow for producing short radio imaging and spoken promotional audio. Its selection of radio voices, reusable voiceovers, sound library, automatic mixing, and unlimited remixing make it useful for small broadcasters and DJs who want control over their station sound without a traditional production setup. Its main trade-offs are the credit cost of generating new voiceovers, the English accent of its standard voices when reading other languages, and the fact that it does not create sung jingles or write advertising copy for users.

Pricing

JingleLark uses one-time credit packs rather than monthly subscriptions. New accounts receive one free credit, and users can earn another credit through each seven-day check-in streak. Check-in credits expire after 30 days, while purchased credits do not expire.

• Free starting credit: One credit on signup, enough for one short voiceover of up to 220 characters.
• Starter: $14.90 for 50 credits.
• Standard: $39 for 200 credits.
• Pro: $99 for 600 credits.

A script of up to 220 characters costs one credit. Scripts between 221 and 900 characters cost two credits. Mixing, remixing, previews, and MP3/WAV downloads are free and unlimited after generating the voiceover.

Review

JingleLark is a specialised tool for radio stations and DJs who need spoken station imaging without arranging separate voice recordings or using a complex audio editor. Its workflow is straightforward: write a short script, select a radio voice, generate the voiceover, and combine it with an intro, background bed, and outro. The templates help users get started quickly, while the voice library gives them options for different broadcast styles.

One of its strongest features is the ability to reuse a generated voiceover in unlimited mixes. Users can experiment with different audio beds and intros without paying for another generation, making it easier to compare variations before downloading a final version. The automatic ducking, silence trimming, and loudness levelling also reduce the amount of manual mixing required.

The one-time credit packages are another advantage for users who do not want a recurring subscription. The free signup credit gives new users a way to test a short voiceover, and the additional check-in credit offers occasional free use. Purchased credits do not expire, which is convenient for stations that produce imaging only when needed.

There are limitations to consider. JingleLark does not sing or compose music, and it does not write the script for users. Its standard voices may also sound English-accented when reading other languages, so broadcasters should test pronunciation before using non-English announcements. Voice cloning can help when a native or familiar voice is needed, but users must have permission to clone the speaker.

JingleLark is best suited to small radio stations, DJs, presenters, and creators who need spoken IDs, sweepers, tags, intros, and sponsor spots. It is less suitable for users looking for full music production, sung advertising jingles, dialogue between multiple characters, or an AI copywriting tool. For its intended purpose, it offers a convenient combination of voice generation and simple audio mixing, with a pricing structure that does not require a monthly commitment.