Studio-quality AI voice generation for creators and teams
LOVO is an AI voice and speech platform that converts text to realistic, studio-grade voiceovers using a large voice library and custom voice cloning; it targets content creators, e-learning teams, and marketers who need human-like voices without expensive studio time, and offers a freemium tier plus paid monthly plans starting at an affordable entry price for single creators.
LOVO is an AI voice and speech platform that generates realistic text-to-speech and custom voice clones for content, games, ads, and training. Its primary capability is converting scripts to high-quality human-like audio using a large catalog of licensed voices and neural voice cloning. LOVO’s key differentiator is an emphasis on voice realism and licensing clarity for commercial use, serving marketers, podcasters, e-learning teams and indie game developers. Pricing is accessible with a free tier for testing and paid monthly subscriptions for creators and teams.
LOVO is an AI voice and speech studio founded to bring neural text-to-speech and voice cloning to creators and businesses. Launched by a team with roots in voice technology, LOVO positions itself as a practical alternative to studio recording by focusing on highly natural-sounding synthetic voices, commercial licensing, and an interface for script-to-audio workflows. The company emphasizes an expanding library of voices across genders, ages, and languages, plus the ability to train custom voices when clients provide consented source audio. LOVO markets itself to content teams that need repeatable, scalable voice production without per-hour recording logistics.
Key features center on voice selection and customization, cloning, and production exports. The voice library includes hundreds of premade voices across multiple languages and accents that you can preview instantly; each voice provides adjustable controls for speed, pitch, and emphasis. The custom voice cloning service allows customers to create a bespoke voice model from recorded samples (subject to consent and quality requirements) for branded narration. LOVO also provides an in-browser editor where you paste or upload scripts, assign voices per segment, insert pauses or SSML-style tags, and export WAV or MP3 files at selectable bitrates. Team collaboration features include shared projects, role-based access, and batch rendering for multi-clip projects.
LOVO’s pricing includes a Free (freemium) tier, Pro/Creator monthly plans, and Team/Enterprise options. The Free tier allows limited characters per month and access to the voice library for non-commercial testing; the exact free characters quota changes but is intended for short tests. Paid monthly plans (listed on LOVO’s site) begin with an individual Creators/Pro tier around a low monthly price that increases with included character quota and commercial license; Teams add seat-based billing, team folders, and priority support. Enterprise customers can purchase custom voice cloning and larger character pools under a custom contract with SLA and on-premise or privacy add-ons. Pricing and quotas are published on LOVO’s pricing page and vary by billing frequency and add-ons.
LOVO is used by a range of roles for concrete workflows: e-learning producers use LOVO to create narrated training modules without studio scheduling; marketing teams produce variant ad voiceovers for A/B testing across regions; indie game studios generate NPC lines and dialogue iteratively. For example, Instructional Designers use LOVO to convert 10-30 minute course scripts into multi-lesson narrated audio files, and Social Media Managers generate dozens of short voiceover variants for paid ads. Compared to competitors like Descript or ElevenLabs, LOVO emphasizes a larger premade commercial-licensed catalog and packaged team features, making it better for organizations that need licensed voices and collaboration at scale.
Three capabilities that set LOVO apart from its nearest competitors.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Free | Free | Small character quota/month, watermarked or limited commercial rights for testing | Individuals testing voices and short demos |
| Creator / Pro | $19.99/month | Tens of thousands of characters, commercial use, single seat | Solo creators and podcasters needing regular voiceovers |
| Team | $49/month | Shared quota, 3+ seats, team folders and priority support | Small teams producing multi-voice projects |
| Enterprise | Custom | Large character pools, custom voice cloning, SLAs | Enterprises needing branded voices and high-volume audio |
Copy these into LOVO as-is. Each targets a different high-value workflow.
You are LOVO, a high-fidelity TTS engine. Task: convert the short ad script below into one ready-to-export audio clip. Constraints: use a friendly female mid-30s voice from the catalog (name: 'Emma' or best match), conversational tone, 120-140 words per minute pacing, light smiley inflection on brand name, no background music. Output format: 1) a single-line command-like JSON specifying voice, speed, pitch, and SSML-wrapped script; 2) final plain text SSML the engine should synthesize. Script: "Limited-time offer: upgrade your home comfort with EcoAir. Save 30% today—call or visit our site." Example SSML tag for emphasis: <emphasis level="moderate">EcoAir</emphasis>.
You are LOVO producing professional e-learning narration. Task: convert the module script below into a single narrated audio file with a teacher-like tone. Constraints: use a neutral, clear British-accent male voice (name: 'James' if available), steady 150 wpm pacing, insert 0.5s pauses after each bullet point, pronounce acronyms spelled out (e.g., 'SLA' as 'S-L-A'). Output format: 1) SSML-ready script with explicit pause tags and pronounced acronyms; 2) a short metadata line: total estimated duration and voice settings. Script: "Learning objective: understand incident response steps. Step 1: Identify. Step 2: Contain. Step 3: Recover."
You are LOVO's batch TTS assistant. Task: create 30 short ad variants from the base script with two tone variations. Constraints: produce 30 outputs split 50/50 between 'energetic' and 'relaxed' tones, keep each variant 12–18 seconds, use two different licensed voices (Voice A: upbeat female; Voice B: confident male), and append a 5-word CTA. Output format: CSV with columns: variant_id, voice_name, tone, SSML_script, estimated_duration_seconds. Example row: "v01,Emma,energetic,"<speak>Hello...<break time='200ms'/>Buy now!</speak>",14". Base script: "Discover X — smarter, faster, yours."
You are LOVO for games. Task: synthesize 200 NPC lines using one consistent voice profile with emotion tags. Constraints: use a single licensed 'gritty-actor' voice, vary emotion across lines (neutral, suspicious, angry, cheerful) with approx 50 lines per emotion, ensure each line includes a short context tag and duration under 3 seconds. Output format: CSV with columns: npc_id, emotion, context, plain_text, SSML_with_emotion, filename_suggestion. Example: "npc042,angry,guards block path,'Get out of here!',"<voice name='GrittyActor'><prosody rate='fast' pitch='-1st'>Get out of here!</prosody></voice>",npc042_angry.wav". Provide exactly 200 rows.
You are LOVO's voice-cloning specialist and licensing advisor. Task: create a custom neural clone from four short voice samples and synthesize a 90-second character monologue. Step 1: validate samples meet quality requirements (mono WAV, 44.1kHz, 20-60 seconds each) and confirm commercial licensing. Step 2: build clone with target timbre: warm, slightly raspy, mid-40s male. Step 3: synthesize monologue with acting directions (subtle sarcasm, rising intensity). Output format: JSON with keys: sample_validation_report, licensing_confirmation_text, clone_settings, SSML_monologue, estimated_clone_confidence_score (0–1). Include a short remediation plan if samples fail.
You are LOVO localization director. Task: produce localized voice scripts for a 10-minute e-learning lesson into Spanish and Brazilian Portuguese with timing and SSML for lip-sync. Constraints: keep meaning identical, match original reading time within ±7% per language, preserve brand tone, and mark sentence-level timecodes for animation sync. Input: provide original English script (10 minutes). Output format: two JSON objects (one per language) containing: localized_SSML, sentence_timecodes_ms array, voice_name_recommendation, notes on cultural word choices. Example timecode entry: {"sentence_index":3,"text":"...","start_ms":42000,"end_ms":47500}. Ensure final duration estimate used to check ±7% constraint.
Choose LOVO over ElevenLabs if you prioritize a larger premade commercial-licensed voice catalog and built-in team project management.
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