--- title: "Lelapa AI Vulavula API free inference" description: "A recurring no-cost API allowance with provider-published access terms." canonical_url: "https://freeinferencing.com/provider/lelapa_vulavula/" md_url: "https://freeinferencing.com/provider/lelapa_vulavula.md" last_updated: "2026-09-19" --- # Lelapa AI Vulavula API > A recurring no-cost API allowance with provider-published access terms. ## Classification - **Directory:** Current - **Free access:** Always-free quota - **Status:** Available now - **Confidence:** High - **Payment card:** No - **Account:** Required - **Equivalent paid value:** $1.00/mo - **API endpoint:** `https://api.lelapa.ai/v1` ## Models mentioned No stable model IDs were recorded in this snapshot. ## Limits and terms ```yaml successful_api_calls_per_month: 100 unsuccessful_calls_count: false api_key_max_age_days: 90 translation_recommended_max_words: 100 ``` ## What happens to your prompts? **Partially private.** Lelapa says client data is not used for model training, but audio and transcript retention is governed by a DPA whose terms and TTL are not public. Privacy is audited separately from price. Review the current governing terms before sending sensitive or regulated data. ## Data governance and agreements ```yaml data_governance: review_status: partial plan_scope: Vulavula hosted transcription and translation API Free plan. prompt_retention: Translation text and uploaded audio are processed under Lelapa's client agreement and DPA, but the public policy does not publish a content-retention maximum. response_retention: Transcript and translation-output retention is governed by the same nonpublic DPA terms; no public TTL was verified. ordinary_logging: Account, usage, security, and technical metadata may be retained; content-versus-metadata boundaries and durations are incomplete. model_training: Lelapa says client data is not used to train its models. product_improvement: No broad content-based improvement right was found, but the public policy does not fully describe all API quality workflows. human_or_operator_access: Authorized access follows the client agreement and DPA; public materials do not define the review scope. subprocessors_and_routing: Lelapa and its disclosed service providers process requests; no external foundation-model routing layer is documented for Vulavula. deletion_controls: Privacy requests are available, while API audio, transcript, and translation deletion timing depends on the nonpublic DPA. caveat: The no-training commitment is favorable, but the unpublished DPA retention terms prevent a private classification. agreements: privacy_policy: https://lelapa.ai/privacy terms_of_service: https://lelapa.ai/terms ``` ## Eligibility ```yaml account_required: true payment_method_required: false residency_restriction: not_documented ``` ## API compatibility and modalities - **Compatibility:** Lelapa Rest - **Modalities:** Speech To Text, Translation, Speech / audio - **Geography:** South Africa ## Before you build with Lelapa AI Vulavula API ### Read the classification narrowly This record describes the bounded offer supported by evidence on 2026-09-19; it does not guarantee permanence, production suitability, uptime, latency, model quality, or access from every account and region. “Always-free quota” should be interpreted together with the Current directory placement, High confidence, No payment-card status, and the plan-specific sources below. ### Resolve the live model route No stable model ID is recorded. Resolve the current machine-readable ID, endpoint, authentication method, and request shape from the provider's live documentation before writing fixed production configuration. ### Match the quota to the workload shape Translate the allowance into peak requests per minute, input and output tokens, concurrency, retries, and every daily or monthly ceiling that applies to the intended account. The first limit reached by the workload is the practical ceiling. A large token pool can still fail interactive bursts, and a high request limit can still fail long-context work. Include tool calls and retry traffic, test the largest realistic payload, and treat research, experimental, and community access as conditional on their eligibility and fair-use terms. ### Preserve billing and privacy boundaries The recorded payment-card requirement is No, and account access is required. Confirm both in the live signup flow, set provider-side budgets when charges are possible, and observe the balance or usage fields after a complete request. The prompt-handling classification is **Partially private** because Lelapa says client data is not used for model training, but audio and transcript retention is governed by a DPA whose terms and TTL are not public. Re-read the terms for the exact route and plan before sending sensitive, regulated, or proprietary content. ### Follow the evidence, then re-check it This record links 7 first-party sources covering the offer, catalog, limits, pricing, terms, privacy, or adoption evidence available to the audit. Prefer the newest and most specific governing document or live catalog when sources disagree. A dated finding can become stale even when the page remains online, so retain the source and snapshot that supported the decision and submit a correction when a provider changes a material term. ### Plan fallback without policy drift A fallback should preserve modality, context length, streaming, structured output, tools, safety controls, and data terms, not only API syntax. Decide which errors may retry, cap retry storms, and prevent an exhausted free route from silently switching to a billable model. Rotating aliases and free pools can change behavior without changing the endpoint, so retain the response model field and test at least one substitute route before the primary offer becomes unavailable. ### Monitor the offer as a dependency Capture the model ID, response model, rate-limit headers, usage fields, latency, HTTP status, and provider request identifier. Watch authorization failure, quota exhaustion, catalog removal, policy revision, and balance movement as separate failure modes. Re-check the live catalog and governing sources on a schedule proportionate to the workload's importance, and keep an owner and exit path for any production dependency on volatile free capacity. ### Test one complete request before scaling Start with the smallest permitted request using the exact credential, model ID, endpoint, region, and account type intended for deployment. Record the status, headers, usage fields, response model, latency, and dashboard balance movement. Then exercise an invalid model, quota exhaustion, or rate limit so failure is explicit and cannot silently switch to a paid route. Validate streaming, structured output, and tool calls separately because a free model can expose fewer features than its paid counterpart. Keep a budget ceiling outside the application whenever billing is possible, and do not send sensitive data until the observed route matches the reviewed agreement. ## Primary sources - [Plans](https://docs.lelapa.ai/overview/plans): Official Pricing - [Language support](https://docs.lelapa.ai/overview/language-support): Official Docs - [Synchronous transcription](https://docs.lelapa.ai/transcribe/sync): Official Docs - [Translation](https://docs.lelapa.ai/translate/translate): Official Docs - [Lelapa AI Privacy Policy](https://lelapa.ai/privacy): Official Privacy - [Lelapa AI Terms](https://lelapa.ai/terms): Official Terms - [Vulavula introduction](https://docs.lelapa.ai/overview/introduction): Official Docs ## Sitemap See the full [semantic sitemap](/sitemap.md) for every page and markdown mirror.