Giggy Speech to Text vs Rev AI Speech-to-Text API

Giggy Speech to Text 69

Read as a model, on the lines deepgram-stt and cartesia-ink-stt use (recency 30, dated releases 10, deprecation notice 10, support 15, issues 10, SDKs 15, health 10). The Python and Node SDKs released 0.2.1 and the Pipecat adapter 0.3.3 on 1 November 2026, and the examples and MCP repositories changed on 3 November (30). Since 7 October the Node SDK has four tagged releases, the Python SDK six and the Pipecat adapter six, the STT ones from 12 October (10). No deprecation policy or dated notice. The legacy https://giggy.ai/v1 origin and older SDK transports are kept 'for existing integrations' with no end date (2 of 10). No service changelog; the support and contact pages drew by script, and GitHub issues is the support URL in the plugin manifest (5 of 15). GitHub issues and reply times could not be read, since the GitHub API was not available to this session (0 of 10). Official SDKs current, giggy and @giggy-ai/sdk at 0.2.1 on PyPI and npm (15). CI workflows in five repositories and publish workflows, the n8n node through npm OIDC with provenance, and two runtime dependencies in each SDK; run results not seen (7 of 10). 30+10+2+5+0+15+7 = 69.

Rev AI Speech-to-Text API 30

The newest changelog entry is 2026-08-20, deprecating the fusion transcriber, 42 days ago (20). Two dated entries in the last 90 days, 28 July and 20 August (0). Public changelog and an email support channel. The SDK repositories had commits in March and May 2026 but no release (5). npm's latest Node SDK is 3.8.5 from 4 January 2024 and the Python SDK's last tag is 2.21.0 from 27 November 2024. Both repositories merged a source_config fix in March 2026 (Python 2.22.0, Node 3.9.0 in source) that hasn't shipped (5). Rev's own readiness report in the Node repository (12 May 2026) records the last three default-branch CI runs as failed (0).

Giggy Speech to Text 30

Closed hosted service. The terms exist at /terms but draw by script and could not be read, so their clarity is unknown; the SDK, Pipecat and MCP repositories are ISC and the n8n node MIT (5 of 30). What could be read agrees with itself, no training on user data, an optional 12-hour retention flag, a seven-day window for Batch audio, and the EEA compute flag. The privacy policy, any DPA and a retention period for transcripts were not found or not readable (12 of 30). No deprecation policy or dated notices, only a statement that the legacy origin remains supported (3 of 20). No subprocessors or data locations are named; the EEA-adequate compute option implies processing outside the EEA by default without saying where (3 of 20). 5+12+3+3 = 23.

Rev AI Speech-to-Text API 69

Closed service under the Rev.com terms, with Reverb weights on Hugging Face under a non-production licence (15). The terms (15 May 2026) disclose training of Rev's own ASR models on customer content, the security page says content never trains external models, and the docs promise 30-day deletion with per-job overrides. They agree with each other, though the API docs themselves never mention training (20 of 30). Deprecations are dated, but both say the option will be removed in a future release with no removal date (10). EU deployment in Frankfurt documented, no sub-processor list found (10).

Giggy Speech to Text 50

Hosted reading, as for deepgram-stt and cartesia-ink-stt. Giggy's own status page at https://giggy.ai/status lists one component, Text to speech, operational on 4 November 2026 with 98.61 per cent observed availability and 99.85 per cent completion over 14 days, refreshed every 30 minutes. It has no speech-to-text component and no incident log, so it shows nothing about this surface (5 of 20). No readable incident history, so the floor (5). Rate limits are published per credential, 60 Batch generation POSTs, 120 event-stream GETs, 600 reads and 120 MCP requests a minute, with eight live contexts per controller; Fast and Streaming POSTs have no per-credential limit and Batch queue capacity isn't given (15). 429 carries Retry-After with RateLimit-* headers, and the docs give a safe-retry rule for uploads, read the generation by UUID after a timeout or 504 and never upload the same recording again. REST transcription has no idempotency key, but the MCP transcribe_audio tool takes one (15). No SLA on the pricing page or in the docs; the terms could not be read (0). No beta or preview label on the API, the SDKs or the MCP server (10). 5+5+15+15+0+10 = 50.

Rev AI Speech-to-Text API 75

Statuspage at status.rev.ai with component history (20). No incident since 13 May 2026, so the last 90 days are clean. The page has logged only eight incidents since September 2022, which says as much about how often Rev posts as about uptime (30). Limits published with numbers, 10,000 async submissions and 500 processing jobs per 10 minutes and 10 concurrent streams (15). No 429 handling, Retry-After or backoff guidance in the async reference, the get-started page or the changelog (0). No SLA found, and the pricing page names none (0). Async and streaming are GA (10).

Giggy Speech to Text 57

Model reading of the checklist, with training and retention in place of the least-privilege and injection lines, as for deepgram-stt and cartesia-ink-stt. Keys prefixed giggy_sk_ are shown once on creation or rotation, rejected immediately after revocation, limited to ten per space and tied to the space that made them, with REST budgets that Workspace members can set. No scopes or expiry were found. The key travels in a header only, with no query-string option documented (22 of 30). The workspace privacy guide states 'Giggy does not use user data to train models'. The privacy policy and terms draw by script and could not be read to confirm it (18 of 20). Requests can opt into 12-hour content retention and EEA-adequate compute, and a guide gives Batch audio a seven-day window, but no retention period for transcripts was found and results can vanish after an unstated 'retention cleanup' (9 of 15). Generation history per space and a request ID on errors; no audit log of key or admin actions was found (8 of 15). /.well-known/security.txt answered a client error, none of the six repositories has a SECURITY.md, and no disclosure policy, bug bounty or certification was found on the pages that rendered; the support page that may name a reporting route drew by script (0 of 20). 22+18+9+8+0 = 57.

Rev AI Speech-to-Text API 40

Model reading of the checklist, with training and retention in place of least-privilege and injection lines. Bearer access tokens, generated and replaced from the account page, with no scopes found (20). The streaming WebSocket takes that long-lived token as an access_token query parameter, a documented secret in a URL (minus 10). The Rev.com terms (15 May 2026) say customer content on speech-to-text services may be used for continuous training of Rev's ASR and other AI models, not generative AI, and offer no opt-out (0). Jobs and media are deleted after 30 days, sooner with delete_after_seconds, an account setting or a delete call. Streaming retention isn't stated (10). Jobs are listed per account, no audit log found (10). Rev's security page names SOC 2 Type II and links a SOC 3 report, plus PCI, HIPAA on the enterprise tier and CJIS. No security.txt, disclosure policy or bug bounty found (10 of 20).

Giggy Speech to Text 68

Model reading, with the API reference. The docs and llms.txt link an OpenAPI 3.1 file at https://api.giggy.ai/v1/openapi.json, but api.giggy.ai's robots.txt could not be read, so the file wasn't fetched. We credit only what the reference pages show of it, typed mode values, the privacy booleans and a typed error body, and there is no AsyncAPI file for the live socket (12 of 25). llms.txt and llms-full.txt (10). The docs say when to use each mode and transport, that MCP is not a live transport, that an OpenAI base-URL swap does not work for STT, and which options have no equivalent, more than most listings say about when not to use something (17 of 20). mode is an enum of three values and the input format is fixed, but language is a free code or name with no published list, and the MCP input schemas were read only from the repository's docs, not from the server (11 of 15). Examples in the SDK READMEs, the examples repository and a Postman collection, and an error table of ten statuses with type, code, message, status, request_id and param fields, though only one code value is named (11 of 15). Paths are under /v1 and the SDK and Pipecat repositories keep CHANGELOG.md files, dated in two of them, but there is no service changelog (7 of 15). 12+10+17+11+11+7 = 68.

Rev AI Speech-to-Text API 80

The async reference links an OpenAPI description at docs.rev.ai/_bundle/api/asynchronous/reference.yaml, which came back unreadable to our fetcher but is published (25). llms.txt (10). Endpoint descriptions state purpose, and the docs explain when to choose the machine, foreign-language or human transcriber (15). Typed options with enums for the transcriber, though we couldn't read constraints from the spec file (10). The reference excerpt we read shows no error responses for POST /jobs (5). Versioned /speechtotext/v1 paths and a dated changelog (15).

Giggy Speech to Text 30

No x402, MPP or L402 (0). Per-hour prices for Batch, Fast and Streaming and every credit pack published without a login (20). Free Batch transcription and Personal free credits topped up to 10,000 a month, but no page read says whether a card is needed, so half, as other listings read an unstated card requirement (10 of 20). A person signs up in a browser and creates the key there; no programmatic key route was found (0). 0+20+10+0 = 30.

Rev AI Speech-to-Text API 20

No x402, MPP or L402 (0). Per-hour and per-minute prices published without a login (20). Free credits worth 5 hours of Reverb, but we couldn't confirm whether sign-up needs a card (0). A person signs up in a browser (0).