Listnr AI

Listnr AI's public website now describes two adjacent products. The original Listnr voice platform offers text-to-speech, cloning, an editor, API, dubbing and podcast/media workflows. The newer Listnr Studio turns prompts, scripts, URLs, audio or PDFs into editable narrated video. Each has its own pricing page and credit system.

> Distinctive strength: A creator can choose between a voice-first workspace for narration, cloning, dubbing and podcasts and a separate prompt/script/URL-to-finished-video Studio without changing vendor. > > Where it stops being an advantage: The two products have different checkouts, credit systems and production jobs; the advantage vanishes if the buyer mistakes them for one interchangeable allowance.

That distinction is the first buying decision. An audio plan advertises credits in approximate voice-generation hours; a Studio plan pays for a broader creation loop. Treating both as one subscription or comparing their “credits” directly can produce the wrong budget.

Listnr's 1,000+ voices, five-second clone claim and published latency do not answer whether a specific workflow is reliable or safe. Those claims remain unproven here. This page asks: which Listnr workflow are you buying, what does one accepted output cost, and can its consent, data and operational terms support your use?

Choose Audio or Studio before comparing plans

Is Listnr AI one product or two?

Operationally, evaluate two product surfaces. The main `listnr.ai` site is voice-first: typed/imported text, multiple speakers, pronunciation, SSML, styles, cloning, MP3/WAV, API and related audio workflows. `studio.listnr.ai` is video-first: prompts, scripts, links, audio and PDFs become scenes with visuals, voices, captions, editing and export.

The distinction changes:

• the plan names and price;
• what a credit represents;
• language coverage displayed;
• whether cloning is included;
• the expected output;
• the relevant quality test;
• which API/automation claim matters.

Before paying, start from the exact workflow you intend to use and follow its checkout. Capture the product name, plan, credit definition and renewal allowance. If the account presents a migration or shared wallet, require it to explain the conversion in writing.

What do Listnr's audio plans cost?

The voice-product pricing page checked on 27 August 2026 lists:

All three advertise 1,000+ voices, unlimited downloads/exports/embeds and commercial rights. The arithmetic implies roughly 10,000 credits per advertised voice hour across each tier:

• 20,000 ÷ 2 = 10,000;
• 50,000 ÷ 5 = 10,000;
• 250,000 ÷ 25 = 10,000.

That ratio is a planning clue, not proof that every voice, clone, API request or regeneration costs identically. The public pricing page does not expose a complete action-by-action credit schedule.

Annual equivalent base subscription costs are about:

• Individual: $15.83/month;
• Solo: $32.50/month;
• Agency: $82.50/month.

Cost per advertised generated hour, if fully used and before labor, is approximately $7.92, $6.50 and $3.30 respectively. Underuse reverses the apparent advantage. If an Agency buyer uses five of 25 advertised hours, subscription cost alone is $16.50 per generated hour.

The actual unit should be accepted finished minute, including discarded generations, pronunciation correction, reviewer time, editing and mastering—not the vendor's theoretical generated hour.

What do Listnr Studio plans cost?

The newer Studio pricing page checked on the same date lists:

Growth explicitly describes a locked promotional price. Ultra exposes selectable pools of 12k, 30k, 50k, 100k and 200k, so its price changes with the selection. Do not encode one `Offer` in structured data or quote one “Listnr price” for both products.

Most importantly, one Studio credit is not proven equal to one audio credit. The public pages do not establish a conversion or shared-wallet contract. Studio generation combines visuals, video models, captions and voice; its spend must be measured inside a fixed project.

Which plan should a voiceover buyer choose?

Start with workload, not plan labels.

For a monthly narration workload, record:

1. finished minutes and source word count;
2. languages, voices and styles;
3. percentage regenerated after review;
4. clone creation/use;
5. API versus editor generation;
6. file formats and mastering work;
7. storage and retention needs;
8. a variance buffer.

Example: a team needs 90 accepted minutes/month. If first-pass acceptance is 70% and rejected passages are regenerated once, generated usage might reach 117 minutes before pickups and alternative takes. That fits under a two-hour headline but leaves almost no safety margin.

For Studio, freeze a visual recipe. A 60-second stock-media video and a 60-second generated-video project can have radically different credit requirements. The current public page does not expose enough model-by-model credit math to calculate this honestly without an account test.

Is Listnr's free trial enough?

Use it to test interface and output, not production economics. Public audio pages invite free use and cloning trials, but the current paid pricing surfaces do not publish one stable free allowance suitable for budget modeling.

Before generation, screenshot:

• opening balance and renewal date;
• product surface (audio or Studio);
• available voices/languages;
• clone eligibility;
• export formats;
• API access;
• watermark and output limits.

The Terms describe a discretionary seven-day refund for a first purchase outside lifetime deals only when aggregate usage stays below 1,000 words or five minutes of audio generation, subject to regional law. A serious test can cross that threshold quickly. Decide the paid-test protocol before generating.

How good is the voice and language coverage?

Counts are not a quality result. Audio pages market 1,000+ voices and 142+ languages/accents. Studio Growth describes voices across 70+ languages. Those figures can both be true for different workflows, but neither proves that a required language has a production-ready voice, clone, emotion, pronunciation control or API path.

Test each target language with the same frozen content:

• names and acronyms;
• numbers, currencies and dates;
• questions and long sentences;
• abbreviations and domain terminology;
• emotional and neutral delivery;
• code-switching;
• paragraph transitions.

Have native speakers review pronunciation, stress, pace, intelligibility, unnatural phoneme transitions and semantic errors. Keep results per voice/model. Do not turn one good English sample into a 142-language endorsement.

Can Listnr clone another person's voice?

Only with clear, verifiable consent. The current Terms prohibit uploading or cloning a voice without it and require written consent from every identifiable speaker whose voice is uploaded.

Audio pages market a five-second sample, with longer recordings improving quality. That is a minimum-input claim—not evidence that five seconds captures reliable identity, pacing and emotional range.

The buyer should retain:

• speaker identity and written consent;
• allowed projects, scripts, channels and territories;
• duration and revocation process;
• whether translation and voice-changing are allowed;
• who can generate, export and share;
• training opt-in/out state;
• deletion request and verification;
• disclosure requirements.

Listnr's Terms also restrict harmful impersonation, privacy/IP/election/biometric violations and misleading presentation as authentic speech where disclosure is reasonably required. They prohibit high-risk medical diagnosis and emergency communications. These are exclusion boundaries, not optional best practices.

What happens to voice samples and generated output?

Listnr publishes unusually concrete defaults:

Terms say explicit consent is required before voice biometric input is used for model training beyond the session that produced the initial output, and describe a dashboard training opt-out. Privacy states primary AWS hosting in `us-east-1` and `eu-central-1`, SCCs for EEA/UK transfers and a subprocessor list with 30-day change notice.

Do not assume a toggle retroactively removes derived data. Test a disposable clone:

1. record the initial training setting;
2. create a clone with documented consent;
3. export an artifact;
4. opt out;
5. request clone and raw-sample deletion;
6. close the account if that is the policy test;
7. obtain confirmation and verify the dashboard/API surfaces.

For sensitive use, ask how backups, anonymized data, derived voice models and third-party model providers are treated.

Is Listnr SOC 2 certified and secure?

The public evidence conflicts. The Privacy Policy claims AES-256 at rest, TLS 1.3, internal RBAC/MFA, annual penetration tests and monitoring, but describes SOC 2 Type II certification as a roadmap. The audio pricing page separately mentions “annual SOC 2 audits.”

Do not publish or rely on a current certification claim without obtaining:

• the audit report and period;
• exact legal entity and services in scope;
• exceptions and complementary user controls;
• bridge letter if required;
• penetration-test executive summary;
• subprocessor and region mapping;
• incident-notification commitments.

Encryption claims also do not answer access logging, customer-admin roles, project isolation or clone export authority. Test those separately.

Do commercial rights cover the output?

Listnr markets commercial rights and assigns to customers the output IP it holds, to the extent permitted by law. Terms explicitly make no representation that output is unique or non-infringing.

You remain responsible for:

• rights in scripts, images, music, video and recordings;
• speaker consent and publicity/biometric rights;
• trademarks and likenesses;
• disclosure of synthetic media where required;
• accuracy and harmful content;
• platform-specific monetization rules.

“Full commercial rights” is therefore not indemnification and not a guarantee against a third-party claim. Preserve the plan/terms version and provenance for every important input.

Is the API ready for production?

Listnr markets a REST-style TTS API with bearer authentication, voice IDs and MP3 output. It also publishes a marketing figure below 500 ms on an audio tools page. That does not establish production latency.

Require and test:

• authentication and key scopes;
• request/character limits;
• concurrency and throttling;
• synchronous versus job behavior;
• latency p50/p95/p99 by model/region;
• timeouts, retries and idempotency;
• response/error schema;
• supported audio formats and sample rates;
• model/voice versioning and retirement;
• logs, retention and deletion;
• uptime and remedy terms.

Terms say beta/preview features are excluded from service commitments and disclaim uninterrupted/error-free operation. The pricing page markets “custom SLAs” for premium plans, but no controlling public uptime/measurement/remedy schedule was found. Obtain the actual SLA before treating it as a procurement fact.

When should you exclude Listnr?

Use another product when:

• the intended account cannot explain whether it is buying audio or Studio credits;
• the target language/voice fails native review;
• regeneration cost makes accepted-minute economics exceed budget;
• five-second cloning is insufficient and longer-source workflow is unavailable;
• consent, training opt-out or deletion cannot satisfy policy;
• current SOC 2 evidence is mandatory but unavailable;
• API quotas, versioning or SLA remain uncontracted;
• team roles cannot isolate voices, projects and credit spend;
• high-risk medical/emergency communication is in scope;
• output rights require an indemnity Listnr does not provide;
• a broad video tool adds cost where a dedicated TTS service would be simpler.

Compare ElevenLabs when documented voice/API depth is central, Fliki when a single browser workflow for narrated stock-media video is the primary job, or browse the AI Voice category. Use Compare only after separating the audio and Studio workflows.

A two-part Listnr evaluation that produces a decision

Audio test

1. Freeze 1,500 words across ten passages in two required languages.
2. Include names, numbers, acronyms, questions, long sentences and emotion changes.
3. Generate with two stock voices and one documented consented clone.
4. Record credits per generation and regenerate exactly 25% and 50% of the text.
5. Export MP3/WAV and inspect codec, sample rate, loudness, clipping and downstream import.
6. Run the equivalent through the API if relevant; record latency percentiles, errors and retry behavior.
7. Use two blinded reviewers plus native review for the second language.

Studio test

1. Freeze a 60-second script, aspect ratio, captions and visual recipe.
2. Record opening Studio credits and every generation/edit/export deduction.
3. Replace two scenes, one voice and one caption; measure incremental—not headline—cost.
4. Export to the real publishing target and inspect sync, caption timing, artifacts and encoding.
5. Repeat once from the same source to measure consistency.

Calculate separately: first-pass acceptance, credits per accepted audio minute, Studio credits per accepted video, reviewer minutes, regeneration multiplier and governance failures. Do not combine the two credit systems unless the account provides a documented conversion.

Main unknown

The public evidence does not establish interoperability between audio and Studio credits or complete team-role behavior. A current SOC 2 certification is also conflicted, and no controlling public SLA was found. These must remain unresolved until verified in the intended account or contract.

Sources checked

• Listnr AI ↗ — audio product, voices, languages, editor, API and rights claims; checked 27 August 2026.
• Audio pricing ↗ — Individual/Solo/Agency pricing, credits, hours, storage and commercial rights; checked 27 August 2026.
• Listnr Studio ↗ — current video-first workflow and ownership claims; checked 27 August 2026.
• Studio pricing ↗ — Hobby/Growth/Ultra plans and Studio credit pools; checked 27 August 2026.
• Listnr audio tools ↗ — cloning sample, voice/language inventory and latency claim; checked 27 August 2026.
• Voice cloning ↗ — current clone workflow and claims; checked 27 August 2026.
• TTS API ↗ — API surface; checked 27 August 2026.
• US English TTS ↗ — controls, API example, export and rights; checked 27 August 2026.
• Listnr terms of service ↗ — consent, retention, training, rights, refund and exclusions; effective 28 May 2025, checked 27 August 2026.
• Listnr privacy policy ↗ — retention schedule, regions, subprocessors and security; effective 28 May 2025, checked 27 August 2026.
• Faceless video tool ↗ — Studio input/editor/output workflow; checked 27 August 2026.
• Voice changer ↗ — source-rights and review workflow; checked 27 August 2026.
• Audio-to-video ↗ — current source configuration and rights boundary; checked 27 August 2026.