# Groq Speech-to-Text > Groq's hosted speech-to-text API. It runs OpenAI's Whisper Large v3 and Whisper Large v3 Turbo on OpenAI-compatible transcription and translation endpoints, for uploaded files or audio URLs, with a half-price batch mode. - Canonical: https://www.anchorterminal.com/tools/groq-speech-to-text - Markdown: https://www.anchorterminal.com/tools/groq-speech-to-text.md (~7,400 tokens) - Slim: https://www.anchorterminal.com/tools/groq-speech-to-text.min.md (~1,480 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/tools/groq-speech-to-text.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-09 ## Overview **Grade BB · 71.8/100 · rank #113 of 842 · #3 in Speech-to-text · agent-ready · confidence medium** More from Groq, listed separately because each is its own product: [GroqCloud](https://www.anchorterminal.com/tools/groq.md) (Model APIs & inference). ## Assessment Whisper Large v3 Turbo costs $0.04 an audio hour and Whisper Large v3 $0.111, with a no-card free plan and zero data retention as a self-serve setting. There is no streaming endpoint, no diarisation and no subtitle output, and uploads stop at 25 MB on the free plan and 100 MB on the Developer plan. ## Facts | Field | Value | | --- | --- | | Vendor | Groq (https://groq.com) | | Kind | Model API | | Category | Speech-to-text (https://www.anchorterminal.com/categories/speech-to-text) | | Transport | HTTP | | Endpoint | `https://api.groq.com/openai/v1` | | Auth | API key · Self-serve bearer key from the GroqCloud console, created inside a project. Projects carry their own rate limits per model, usage data and request logs (https://console.groq.com/docs/projects). | | Pricing | Freemium (Freemium) · $0.04 per audio hour for Whisper Large v3 Turbo and $0.111 for Whisper Large v3, with a 10-second minimum a request and 50% off through the Batch API (https://console.groq.com/docs/models). The free plan needs no card, so an agent's owner can start without a contract. The Developer plan is postpaid by card, US bank account or SEPA debit. | | x402 | No · No x402, MPP or L402 in the speech-to-text guide, the API reference or the billing pages (checked 2026-10-08). | | Licence | Proprietary hosted service under the Groq Services Agreement. The SDKs are Apache-2.0 and the Whisper weights are published by OpenAI on Hugging Face | | Packages | pypi: `groq`; npm: `groq-sdk` | | Source | https://github.com/groq/groq-python | | Docs | https://console.groq.com/docs/speech-to-text | | llms.txt | https://console.groq.com/llms.txt | | Last release | 2026-08-26 | | GitHub stars | 621 (as of 2026-10-08) | | Models | `whisper-large-v3-turbo` (transcription) and `whisper-large-v3` (transcription and translation to English) | | Languages | Vendor says 99+ languages, with an optional ISO-639-1 `language` hint | | Max audio | 25 MB a file on the free plan, 100 MB on the Developer plan. Longer audio is chunked by the caller | | Input | Multipart `file` or a `url`, in flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav or webm. Only the first audio track is read | | Output | `json`, `text` or `verbose_json` with segment or word timestamps. No `srt` or `vtt` | | Streaming | None found. One request returns the whole transcript | | Diarisation | None found | | Rate limits | Free plan 20 requests a minute, 2,000 a day, 7,200 audio seconds an hour and 28,800 a day. Developer plan 300 requests a minute and 200,000 audio seconds an hour on v3, 400 and 400,000 on Turbo | | Batch | 50% off, `url` input only, 24-hour to 7-day window | | Minimum charge | 10 seconds of audio a request | | Free tier | No card, at the free plan's rate limits | | Trains on API data | No, barred by the services agreement unless the customer grants permission | | Data retention | None by default, up to 30 days when Groq logs for reliability or abuse. Zero retention is a setting in Data Controls | | Data location | Google Cloud storage in the US | | Capabilities | speech.stt, speech.batch, speech.languages | | Tags | official, hosted, model, fast, free-tier, no-card, llms-txt, python, typescript, batch, openai-compatible | | JSON | https://www.anchorterminal.com/api/v1/tools/groq-speech-to-text.json | ## Score breakdown (methodology v0.4, October 2026 research run) Assessed 2026-10-08 from public evidence against the published checklist (https://www.anchorterminal.com/benchmark/#checklist). Confidence: medium. Performance and Task success pending (no score, not in the total); the total is Σ(score × weight) ÷ 80 over the 7 assessed categories. "This run" is each category's share of the 100 points. | Category | Weight | This run | Score (0–100) | Points | | --- | --- | --- | --- | --- | | Reliability | 16% | 20 | 90 | 18.0 | | Performance | 10% | pending | pending | n/a | | Schema & documentation | 13% | 16.2 | 58 | 9.4 | | Agent ergonomics | 13% | 16.2 | 75 | 12.2 | | Security & auth | 14% | 17.5 | 79 | 13.8 | | Payments & pricing | 10% | 12.5 | 40 | 5.0 | | Task success | 10% | pending | pending | n/a | | Maintenance & community | 7% | 8.8 | 68 | 6.0 | | Transparency & trust (editorial 72, provenance 98) | 7% | 8.8 | 85 | 7.4 | | Negative events | up to −15 | up to −15 | none recorded | 0 | | **Total** | | | | **71.8 → BB** | ### Why each score - Reliability 90: Hosted reading. The status page at groqstatus.com (incident.io) lists `whisper-large-v3` and `whisper-large-v3-turbo` as separate production components (20). On 8 October 2026 it showed both at 100% uptime for July to October 2026 and no open incident, and its feed held one item, a planned maintenance for another model on 9 October (30). The rate limits page gives numbers for both models, 20 requests a minute, 2,000 a day, 7,200 audio seconds an hour and 28,800 a day on the free plan, and the models page gives 300 requests a minute and 200,000 audio seconds an hour (v3) and 400 and 400,000 (Turbo) on the Developer plan (15). A 429 carries `retry-after`, the security onboarding page says to back off exponentially on 429 and 5xx, and transcription is a stateless call (15). The enterprise Performance Tier's 99.9% availability SLA names three language models and neither Whisper model, so no SLA was found for this product (0). Both models are listed as production models (10). - Performance: Pending. Latency is measured per call by our probes, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until the first probe window closes. - Schema & documentation 58: Model reading. No OpenAPI document was found in the docs, and the Python SDK's `.stats.yml` carries an endpoint count with no specification URL (0). llms.txt at console.groq.com with Markdown twins of the guide, model cards and reference (10). The guide says which model to pick for accuracy or price, that translation is English only and that the `prompt` steers style within 224 tokens, and it explains the `verbose_json` quality fields (15 of 20). The reference lists allowed values for `response_format` and `timestamp_granularities[]` and marks `model` as required, while `language` and `url` are plain strings (11 of 15). curl, Python and JavaScript examples for both endpoints and a shared errors page with a typed error object. The Batch page's sample still names `distil-whisper-large-v3-en`, shut down on 23 August 2025 (12 of 15). The docs changelog is dated, its newest entry is 18 April and no entry in it concerns speech-to-text (10 of 15). - Agent ergonomics 75: API reading, as for the other speech-to-text listings. The default response is the text alone, `text` returns a bare string, and segments and word timestamps come only with `verbose_json`. `srt` and `vtt` are listed as unsupported (18 of 25). There is no transcript store to page through. Volume goes through the Batch API by `url`, and a file over 25 MB (free) or 100 MB (Developer) has to be chunked by the caller (12 of 20). The errors page gives 13 status codes with a recovery line each and an error object of `message` and `type`, with no machine-readable code field (15 of 20). The call is stateless and safe to retry, and the SDKs retry connection errors, 408, 409, 429 and 5xx by default. No idempotency key exists or is needed (15 of 20). `model` and one of `file` or `url` are the only required fields, with official Python and TypeScript SDKs and OpenAI SDK compatibility (15). - Security & auth 79: Model reading, scored like the GroqCloud listing. Bearer keys belong to one project, each project has its own rate limits per model, and the security onboarding page covers rotation and immediate revocation. No way to limit a key to the audio endpoints was found (26 of 30). The services agreement, last modified 22 June 2026, says Groq may not use inputs or outputs for training or fine-tuning unless the customer grants permission (20). Inputs and outputs are not retained by default, logs kept for reliability or abuse last up to 30 days, and the data page lists both audio endpoints as eligible for zero data retention, a setting in Data Controls (15). Usage data and request logs per project and a read-only Reader role. No audit log of administrative actions was found (10 of 15). security.txt on groq.com holds a Contact line only, with no expiry date. The DPA commits to SOC 2 Type II audits, and the trust centre at trust.groq.com is drawn by script and was not read (8 of 20). - Payments & pricing 40: No x402, MPP or L402 (0). $0.04 an audio hour for Whisper Large v3 Turbo and $0.111 for Whisper Large v3 on the models page and model cards, read without a login (20). The free plan needs no card and includes both Whisper models at its own rate limits (20). A person signs up in the console in a browser (0). - Task success: Pending. Task success needs the category task suites run through each tool, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until then. A data provider's data-quality score is published on its listing now and becomes half of this category when it's scored. - Maintenance & community 68: Model reading, as for the GroqCloud listing. No dated change to speech-to-text was found in 2026. The newest dated release is the Python SDK 1.7.0, uploaded to PyPI on 26 August 2026, 43 days before the check (20 of 30). The deprecations page promises an email and a named replacement and states no minimum notice. The one speech-to-text retirement on it is `distil-whisper-large-v3-en` on 23 August 2025 (4 of 12). Neither Whisper model was retired or renamed in the last 90 days (8 of 8). A dated docs changelog with a feed exists, its newest entry is 18 April and none of its entries concern audio (8 of 15). The Python SDK repository had 3 open issues on 8 October. Replies were not sampled (5 of 10). Official `groq` 1.7.0 on PyPI and `groq-sdk` 1.6.0 on npm (15). CI, release automation and lock-file vulnerability fixes in 1.7.0 (8 of 10). - Transparency & trust 85: The hosted service is closed under the Groq Services Agreement. Both models are OpenAI's published Whisper weights, linked from each model card, served with Groq's own quantisation, and the SDKs are Apache-2.0 (20 of 30). The data page, the services agreement and the DPA agree on retention and on the training ban. The agreement limits zero retention to 'Eligible Customers' while the data page says all customers may enable it, and the privacy policy effective 12 November 2025 says it does not cover customer data sent to GroqCloud (26 of 30). A deprecations page with dated history and replacements, with no minimum notice period (14 of 20). Customer data is kept in Google Cloud storage in the United States, and the DPA gives 15 days' notice of sub-processor changes to subscribers. The sub-processor list is in the trust centre we could not read (12 of 20). Fix list for a coding agent, everything this grade says the listing lacks, the biggest gain first (20 items): https://www.anchorterminal.com/fixes/groq-speech-to-text.md (JSON https://www.anchorterminal.com/fixes/groq-speech-to-text.json) ### What we couldn't check - unchecked: trust.groq.com is drawn by script, so certifications, any bug bounty and the sub-processor list were not read - unchecked: groq.com/pricing is drawn by script. Prices come from the models page and the model cards, which agree - unchecked: the status page's incident list before July 2026. Only the page as served and its linked feed were read, not the page's internal data feed - unchecked: the groq.com registration date, taken from the 26 September check of the GroqCloud listing - unchecked: replies on the SDK issue trackers - The privacy policy says it does not apply to customer data processed through GroqCloud, which the services agreement and DPA govern. `provenance.privacy` points at it as on the GroqCloud listing, and a reader may prefer the DPA - security.txt has a Contact line and no Expires field. It is recorded as valid, as on the GroqCloud listing - The services agreement limits zero retention to 'Eligible Customers' while the data page says all customers may enable it - The guide gives word error rates of 10.3% and 12%, and the Whisper Large v3 model card gives 8.4%, 10.0% and 11.0% by test type. None is our measurement - The model cards list live captioning and realtime uses, and no streaming endpoint is documented. No deduction was taken because the guide itself makes no streaming claim - The services agreement bars using the service to develop products that compete with it. No benchmarking clause was found - The changelog's two newest entries carry no year. They follow 1 December 2025 and are read as 2026 ### Sources - speech-to-text guide: (seen 2026-10-08) - API reference, audio section: (seen 2026-10-08) - Whisper Large v3 model card and price: (seen 2026-10-08) - Whisper Large v3 Turbo model card and price: (seen 2026-10-08) - models page, prices and Developer plan limits: (seen 2026-10-08) - rate limits: (seen 2026-10-08) - error codes: (seen 2026-10-08) - Batch API: (seen 2026-10-08) - OpenAI compatibility and unsupported parameters: (seen 2026-10-08) - data retention and zero data retention: (seen 2026-10-08) - projects, keys and logs: (seen 2026-10-08) - security onboarding: (seen 2026-10-08) - Performance Tier and SLA: (seen 2026-10-08) - deprecations: (seen 2026-10-08) - changelog: (seen 2026-10-08) - billing FAQs: (seen 2026-10-08) - Groq Services Agreement: (seen 2026-10-08) - Data Processing Addendum: (seen 2026-10-08) - privacy policy: (seen 2026-10-08) - status page: (seen 2026-10-08) - status feed: (seen 2026-10-08) - security.txt: (seen 2026-10-08) - llms.txt: (seen 2026-10-08) - Python SDK releases: (seen 2026-10-08) - TypeScript SDK latest version: (seen 2026-10-08) - Python SDK repository: (seen 2026-10-08) ## Who's behind it (provenance 98/100, checked 2026-10-08) | Check | Finding | Points | | --- | --- | --- | | Legal entity named | Groq LLC | 20/20 | | Domain age | groq.com, registered 2007-07-22 (19 years) | 15/15 | | Endpoint on the vendor's domain | api.groq.com | 15/15 | | Terms of service | read, states 7 of the 7 things a reader expects, and has 1 clause that costs points | 8/10 | | Privacy policy | read, states 8 of the 8 things a reader expects | 10/10 | | Status page | groqstatus.com | 10/10 | | Changelog | published | 10/10 | | security.txt | valid | 10/10 | The registration date is per the 26 September check of the GroqCloud listing and was not re-read on 8 October. groq.com was registered before Groq existed. Customers in the EEA and Switzerland contract with Groq UK Limited. ### Terms and privacy, as read A reading by a fixed set of rules, each answered with the vendor's own sentence. Not legal advice. **Terms of service** (https://console.groq.com/docs/legal/services-agreement), read 2026-10-08, dated 2026-06-22, states 7 of the 7 things a reader expects. - To know. Restricts benchmarking or competitive use (costs points). "(e) use the Cloud Services to, directly or indirectly, develop or improve products, services, or other offerings that are similar or compete with the Cloud Services;" - To know. Says access can be ended without notice or for any reason. "In addition to its other rights of Suspension, Groq may also Suspend all or part of Customer's use of the Cloud Services or AI Model Services without prior notice if Groq reasonably believes or determines that (a) Suspension is necessary to protect the Cloud Services or AI Model Services, Groq’s infrastructure support…" - Gives the date it was last updated. Last updated 2026-06-22. - Names the governing law or courts. The law of the State of California. - States a limit on its liability. Capped at the fees paid in the 12 months before the claim or $5,000. - Says how changes to the terms are announced. Gives 30 days of notice before a change. - Also in the text (2026-10-08). The customer is solely responsible for what an agentic model or service is connected to and for the actions and tasks its agentic functions perform. "Customer is solely responsible for (a) authorizing an agentic AI Model Service or Cloud Service’s access and connection to any data, applications, and systems, (b) the actions and tasks performed by any agentic features of an AI Model Service or Cloud Service that it uses" - Also in the text (2026-10-08). Groq's total liability for beta services and for services supplied free of charge is limited to 5,000 US dollars. "EXCEPT GROQ'S TOTAL AGGREGATE LIABILITY FOR DAMAGES ARISING OUT OF OR RELATED TO BETA SERVICES AND ANY CLOUD SERVICES PROVIDED FREE OF CHARGE IS LIMITED TO $5,000." - Also in the text (2026-10-08). Groq may deprecate a model at any time and commits to commercially reasonable efforts to give reasonable prior notice. "Groq may deprecate the AI Model Services at any time and will use commercially reasonable efforts to provide Customer with reasonable prior notice before such deprecation." **Privacy policy** (https://groq.com/privacy-policy), read 2026-10-08, dated 2025-11-12, states 8 of the 8 things a reader expects. - To know. Says it sells personal data or shares it for advertising. "Our use of third-party analytics services may result in the sharing of online identifiers (e.g., cookie data, IP addresses, device identifiers, and usage information) in a way that may be considered a “sale” under the CCPA." - Gives the date it was last updated. Last updated 2025-11-12. - Says whether personal data is sold or shared for advertising. Says it does not sell personal data. - Says where data is transferred or stored. Relies on the Data Privacy Framework. ## Live (updated 2026-10-09 10:14 UTC) - Right now: up, HTTP 404, 185 ms, checked 2026-10-09 10:14 UTC (get on `https://api.groq.com/openai/v1`) - Uptime 24h 100.0% (28 probes) · 30 days 100.0% (28 probes) · p50 199 ms · p95 224 ms - Vendor status page: none, All Systems Operational - Always current: https://www.anchorterminal.com/api/v1/live/groq-speech-to-text.json ## Probe metrics Not measured yet. Our benchmark probes haven't run, so there's no availability, latency or error rate from a run and Performance is pending. Live uptime, where we poll the endpoint, is under Live and doesn't change the score. ## Prices | Item | Price | Unit | Note | | --- | --- | --- | --- | | Whisper Large v3 Turbo ($0.04 an audio hour) | $0.0007 | per minute of audio | | | Whisper Large v3 ($0.111 an audio hour) | $0.0019 | per minute of audio | | Across all listings: https://www.anchorterminal.com/prices/index.md ## Strengths - Published prices of $0.04 an audio hour for Whisper Large v3 Turbo and $0.111 for Whisper Large v3, with 50% off through the Batch API - Free plan with no card at 20 requests a minute, 2,000 a day and 7,200 audio seconds an hour on both models - Inputs and outputs are not retained by default, and zero data retention is a console setting that covers both audio endpoints - The status page lists each Whisper model as its own component, both at 100% uptime for July to October 2026 - OpenAI-compatible request shape, with `model` and a `file` or `url` as the only required fields ## Weaknesses - No streaming or realtime endpoint and no diarisation in the reviewed documentation - Uploads are capped at 25 MB on the free plan and 100 MB on the Developer plan, so long recordings need client-side chunking - `srt` and `vtt` response formats are not supported, and Whisper Large v3 Turbo cannot translate - No OpenAPI document was found, and the docs changelog's newest entry is dated 18 April - The 99.9% availability SLA of the enterprise Performance Tier names three language models and neither Whisper model ## Before you call it (notes for agents) 1. Send `whisper-large-v3-turbo` for transcription and `whisper-large-v3` for translation to English. The translations endpoint does not accept Turbo. 2. Pass `url` instead of `file` for audio over 25 MB, and split anything over the plan's size limit into overlapping chunks before sending. 3. Set `response_format` to `verbose_json` before asking for `timestamp_granularities[]`. Word timestamps add latency, segment timestamps do not. 4. Every request is billed as at least 10 seconds of audio, so join very short clips where the task allows. 5. Read `retry-after` on a 429 and back off. Audio limits count seconds an hour and a day as well as requests. ## Connect Install: ```bash pip install groq # or: npm install --save groq-sdk ``` First request: ```bash curl https://api.groq.com/openai/v1/audio/transcriptions \ -H "Authorization: Bearer $GROQ_API_KEY" \ -H "Content-Type: multipart/form-data" \ -F file="@./sample_audio.m4a" \ -F model="whisper-large-v3" ``` ## Similar tools Ranked by shared capabilities, then score. Same-category tools with no shared capability key are listed last. | Tool | Grade | Score | Rank | Shared capabilities | x402 | Markdown | | --- | --- | --- | --- | --- | --- | --- | | Amazon Transcribe | BB | 73.4 | 86 | speech.stt, speech.batch, speech.languages | no | https://www.anchorterminal.com/tools/amazon-transcribe.md | | Azure AI Speech speech-to-text | BB | 73 | 90 | speech.stt, speech.batch, speech.languages | no | https://www.anchorterminal.com/tools/azure-speech-to-text.md | | Deepgram Speech-to-Text (Nova-3, Flux) | BB | 70.3 | 150 | speech.stt, speech.batch, speech.languages | no | https://www.anchorterminal.com/tools/deepgram-stt.md | | Google Cloud Speech-to-Text | BB | 70.2 | 152 | speech.stt, speech.batch, speech.languages | no | https://www.anchorterminal.com/tools/google-speech-to-text.md | | Gladia Speech-to-Text API + MCP | B | 69.5 | 171 | speech.stt, speech.batch, speech.languages | no | https://www.anchorterminal.com/tools/gladia-stt.md | | ElevenLabs Scribe Speech to Text API | B | 68.9 | 189 | speech.stt, speech.batch, speech.languages | no | https://www.anchorterminal.com/tools/elevenlabs-scribe.md | ## Panel reviews (0) Reviewed by the Anchor panel (https://www.anchorterminal.com/reviewers/index.md): . Desk reviews, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. For a desk review, the outcome says whether the reviewer's questions could be answered from public material: success, partial or failure. How reviews work: https://www.anchorterminal.com/reviews/how-it-works.md ## Notable - Two production models, `whisper-large-v3` and `whisper-large-v3-turbo`, on `POST /openai/v1/audio/transcriptions`. `POST /openai/v1/audio/translations` (audio to English text) runs on `whisper-large-v3` only (source: ) - Audio comes as a multipart `file` or a `url`. Uploads are limited to 25 MB on the free plan and 100 MB on the Developer plan, and every request is billed as at least 10 seconds - Response formats are `json`, `text` and `verbose_json`. `srt` and `vtt` are listed as unsupported (source: ) - The Batch API accepts both audio endpoints at 50% off, by `url` only, with a processing window of 24 hours to 7 days (source: ) - Groq states a speed factor of 189 for Whisper Large v3 and 216 for Turbo, and word error rates of 10.3% and 12%. These are vendor figures, not our measurements - The data page lists `/openai/v1/audio/transcriptions` and `/openai/v1/audio/translations` as eligible for zero data retention (source: ) - `distil-whisper-large-v3-en` was shut down on 23 August 2025 in favour of `whisper-large-v3-turbo`, the only speech-to-text retirement on the deprecations page (source: ) - The same API, key, terms and status page as the GroqCloud listing (`groq`), which covers the language models ## Compare - [Amazon Transcribe vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text.md): BB 73.4 vs BB 71.8 - [AssemblyAI Speech-to-Text (Universal) vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/assemblyai-stt-vs-groq-speech-to-text.md): B 66.8 vs BB 71.8 - [Azure AI Speech speech-to-text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-groq-speech-to-text.md): BB 73 vs BB 71.8 - [Deepgram Speech-to-Text (Nova-3, Flux) vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.md): BB 70.3 vs BB 71.8 - [ElevenLabs Scribe Speech to Text API vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-groq-speech-to-text.md): B 68.9 vs BB 71.8 - [Gladia Speech-to-Text API + MCP vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text.md): B 69.5 vs BB 71.8 - [Google Cloud Speech-to-Text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/google-speech-to-text-vs-groq-speech-to-text.md): BB 70.2 vs BB 71.8 - [Groq Speech-to-Text vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-mistral-voxtral-transcribe.md): BB 71.8 vs B 64.1 - [Groq Speech-to-Text vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-rev-ai-stt.md): BB 71.8 vs C 57.8 - [Groq Speech-to-Text vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-soniox-stt.md): BB 71.8 vs C 58.2 - [Groq Speech-to-Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-speechmatics-stt.md): BB 71.8 vs B 67.1 ## Verify this listing For the vendor. The badge or a plain link to this page verifies the listing, from a page on groq.com or one of its subdomains, or the README of github.com/groq/groq-python. It shows the listing is the vendor's and that the vendor knows it's here, and it never changes a grade, rank or review. The vendor sends the page's address to `POST https://www.anchorterminal.com/api/v1/verify` as `{"slug": "groq-speech-to-text", "url": "…"}`, or calls the `verify_listing` tool at https://www.anchorterminal.com/mcp. We fetch the page once, then again every week; two failed checks in a row and the verification lapses, and a later pass restores it. What we check: https://www.anchorterminal.com/builders/index.md#verify HTML badge: ```html Groq Speech-to-Text on Anchor Terminal ``` Markdown badge, for a README: ```markdown [![Groq Speech-to-Text on Anchor Terminal](https://www.anchorterminal.com/badges/groq-speech-to-text.svg)](https://www.anchorterminal.com/tools/groq-speech-to-text) ``` Plain link: ```html Groq Speech-to-Text on Anchor Terminal ``` ## Share this listing For the vendor. Sharing assets for social media, two PNGs of 1200 × 630 that say Groq Speech-to-Text is listed on Anchor Terminal, with the vendor's logo and this page's address and no grade or score. - Dark: https://www.anchorterminal.com/assets/share/groq-speech-to-text-dark.png - Light: https://www.anchorterminal.com/assets/share/groq-speech-to-text-light.png