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Pinch
AI Tool Scorecard

Pinch

A REST API service for dubbing audio and video content into other languages — no SDK required, just HTTP calls.

FreemiumAI Speech Recognitionstartpinch.com
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Published on Jul 6, 2026

Benchmarks

How Pinch scores on agent readiness and AI visibility AI Readiness and GEO Score are platform assessments generated by VibeLaunch after submission.

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Decision summary

Developers

Programmatic audio and video dubbing into other languages

Best for

  • Batch video localization
  • Programmatic dubbing pipelines
  • Multi-language content workflows

Watch out for

  • Processing time scales linearly — 2–5 minutes per minute of input
  • No webhook or callback support mentioned in documentation
  • No voice customization or speaker diarization options evidenced

Overview

Pinch is a REST API service in the AI Speech Recognition space that dubs audio and video content into other languages. It operates entirely through HTTP calls — no SDK installation, no library dependencies, no client-side runtime beyond the ability to make REST requests. Unlike Whisper AI, which focuses on speech-to-text transcription, Pinch targets end-to-end language dubbing as a managed API service.

The dubbing workflow follows a simple three-step pattern documented consistently across all five supported documentation languages: English, Japanese, Korean, Portuguese, and Simplified Chinese. First, create a dubbing job by POSTing a source URL and specifying source and target language codes — or, for local files, request a presigned upload URL, PUT the file, then create the job referencing the uploaded asset. Source language can be set to "auto" for automatic detection. Second, poll the job endpoint at GET /api/dubbing/jobs/{id} to track progress through the documented state machine: pending → downloading → processing → uploading → completed, or failed on error. Third, once the job reaches "completed" status, retrieve the result endpoint to obtain a time-limited download URL with an expires_at timestamp.

According to the official quickstart, typical processing time runs 2–5 minutes per minute of input. A 10-minute video may therefore require 20–50 minutes from submission to completed download. This linear scaling is a practical constraint for time-sensitive workflows, though the async job model means callers are not blocked during processing.

Authentication uses a Bearer token obtained from the Pinch developer portal, and every endpoint requires the Authorization header. The API surface is organized around a single /api/dubbing/ namespace with dedicated endpoints for job creation, status polling, result retrieval, and upload-URL generation. A full Dubbing API Reference is referenced in the quickstart documentation as the canonical endpoint catalog.

What the available documentation does not surface: there is no mention of voice selection, speaker diarization, timestamp-aligned output, or any quality-tuning parameters. There is no evidence of webhook or callback support — progress tracking is exclusively client-polled. Pricing is referenced as a section heading and a supported-languages heading exists, but neither section's content is expanded in the quickstart passages examined for this enrichment artifact. For transcription-only needs where full dubbing is unnecessary, a Free MP3 to Text Converter may be a simpler alternative.

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Score anatomy

The dimensions behind the editorial score, each with its judgment note. AI Readiness and GEO Score are platform assessments generated by VibeLaunch after submission.

Information quality

API documentation is clear and consistent across five languages with concrete curl examples. However, no output samples, accuracy benchmarks, or third-party evaluations are provided.

5.8
Verify

Quickstart documentation in EN, JA, KO, PT, ZH covers the full workflow with reproducible REST examples. No quality metrics or sample outputs surfaced.

Ease of use

Three REST calls complete a dubbing job. No SDK installation, no library dependencies. Well-documented state machine with clear polling pattern. Bearer token authentication is standard and simple.

7.5
Contextual

Create job, poll status, download result — three curl commands documented identically across five language quickstarts.

Feature depth

Core pipeline covers job creation, status polling, and result download. No voice selection, speaker diarization, timestamp alignment, or output customization features are documented in the available passages.

4.2
Verify

API surface limited to job CRUD and upload-URL generation. No evidence of voice profiles, quality parameters, or advanced dubbing controls.

Workflow fit

Async polling model works for batch and pipeline integration. No webhook or callback support mentioned, requiring active client-side polling. Suitable for scheduled batch jobs but not real-time or event-driven architectures.

5.5
Verify

Job lifecycle requires client polling at GET /api/dubbing/jobs/{id}. No push-based notification mechanism documented.

Reliability

Job lifecycle includes a 'failed' state but no SLA, uptime guarantees, retry semantics, or detailed error recovery documentation is provided in the available passages.

3.8
Verify

State machine defines a 'failed' terminal state with no documented error codes, retry guidance, or service-level commitments.

Value

Pricing section is referenced as a heading only in the quickstart documentation. No pricing tiers, per-minute rates, free tier details, or usage limits are disclosed in the available evidence packet.

3.0
Verify

Section heading 'Pricing & limits' exists in quickstart but no pricing data is expanded in the L1 passages. Value assessment deferred pending pricing disclosure.

Scores indicate documented product strength, not a hands-on guarantee.

Agent Readiness

How well an agent can understand this product and reconstruct a documented workflow from its official information.

Automated agent-readiness assessment of https://startpinch.com/: 9 of 22 checks verified across 3 fetched pages. No substantial machine interface is documented — agents can understand and cite the product but not operate it. Absent: sitemap, agent_tooling_artifacts, response_examples, error_documentation, version_information, changelog.

Readiness dimensions

DimensionScore
Documentation quality70
Execution verifiability0
Machine interface45
Project clarity50
Resource discoverability70
Workflow completeness85

What helps agents

  • docs: verified during this run
  • llms txt: verified during this run
  • quickstart: verified during this run
  • api reference: verified during this run
  • authentication: verified during this run
  • request examples: verified during this run

Where agents are blocked

  • sitemap.xml not reachable (HTTP 404).
  • No agent instruction files, code-distribution commands, or named slash-command skills found across fetched pages.
  • No response examples signal matched across 3 fetched pages.
  • No error documentation signal matched across 3 fetched pages.
  • No version information signal matched across 3 fetched pages.
  • No changelog signal matched across 3 fetched pages.

Evidence check

Public claims about this tool, each tagged with a verification status and its cited source.

docs/dubbing-quickstart7
startpinch.comVerifiedChecked Aug 30, 2026

Pinch is a REST API service that dubs audio or video into another language without requiring an SDK.

Local media files can be uploaded through a presigned URL mechanism before creating a dubbing job.

Completed dubbing jobs return a time-limited download URL with an expires_at timestamp for result retrieval.

The dubbing job lifecycle follows a documented state machine: pending → downloading → processing → uploading → completed → failed, with progress tracked via client polling.

Typical dubbing processing time is 2–5 minutes per minute of input audio or video, as stated in the official quickstart.

A full Dubbing API Reference exists as the canonical endpoint catalog for the service.

A quick-start / agent-skills documentation page is reachable at https://startpinch.com/docs/dubbing-quickstart.

https://startpinch.com/docs/dubbing-quickstart
docs/dubbing-quickstart-zh4
startpinch.comVerifiedChecked Jul 16, 2026

Pinch is a REST API service that dubs audio or video into another language without requiring an SDK.

Dubbing jobs can be created from a publicly accessible source URL by specifying source_lang and target_lang parameters, with 'auto' available for automatic source language detection.

Local media files can be uploaded through a presigned URL mechanism before creating a dubbing job.

Completed dubbing jobs return a time-limited download URL with an expires_at timestamp for result retrieval.

https://startpinch.com/docs/dubbing-quickstart-zh
docs/dubbing-quickstart-ja4
startpinch.comVerifiedChecked Jul 16, 2026

Dubbing jobs can be created from a publicly accessible source URL by specifying source_lang and target_lang parameters, with 'auto' available for automatic source language detection.

The dubbing job lifecycle follows a documented state machine: pending → downloading → processing → uploading → completed → failed, with progress tracked via client polling.

API authentication uses a Bearer token obtained from the Pinch developer portal, required on every endpoint.

Official quickstart documentation is available in five languages: English, Japanese, Korean, Portuguese, and Simplified Chinese.

https://startpinch.com/docs/dubbing-quickstart-ja
docs/dubbing-quickstart-ko2
startpinch.comVerifiedChecked Jul 16, 2026

Typical dubbing processing time is 2–5 minutes per minute of input audio or video, as stated in the official quickstart.

API authentication uses a Bearer token obtained from the Pinch developer portal, required on every endpoint.

https://startpinch.com/docs/dubbing-quickstart-ko
docs/dubbing-quickstart-pt2
startpinch.comVerifiedChecked Jul 16, 2026

Official quickstart documentation is available in five languages: English, Japanese, Korean, Portuguese, and Simplified Chinese.

A full Dubbing API Reference exists as the canonical endpoint catalog for the service.

https://startpinch.com/docs/dubbing-quickstart-pt
Pinch — AI Video & Audio Dubbing API | Translate into 10 Languages1
startpinch.comVerifiedChecked Aug 30, 2026

The entry page was fetched and analyzed for machine-interface signals (title, headings, developer links, keyword probes).

https://startpinch.com/
https://startpinch.com/llms.txt1
startpinch.comVerifiedChecked Aug 30, 2026

llms.txt is published at the site root and readable.

https://startpinch.com/llms.txt
Introduction1
startpinch.comVerifiedChecked Aug 30, 2026

A documentation surface is reachable at https://startpinch.com/docs.

https://startpinch.com/docs
https://startpinch.com/openapi.json1
startpinch.comVerifiedChecked Aug 30, 2026

A machine-readable OpenAPI/Swagger specification is published at https://startpinch.com/openapi.json.

https://startpinch.com/openapi.json

Decision desk

The questions most worth resolving before you rely on the product or visit its official site.

Obtain an API key from the Pinch developer portal, then create a dubbing job by POSTing a source URL with source_lang and target_lang parameters to /api/dubbing/jobs. Poll GET /api/dubbing/jobs/{id} until status is 'completed', then retrieve the result for a time-limited download URL.

According to the official quickstart, typical processing time is 2–5 minutes per minute of input audio or video. A 10-minute video may require 20–50 minutes from submission to completed download.

Yes. Request a presigned upload URL via POST /api/dubbing/upload-url, PUT your media file to that URL, then create a dubbing job referencing the uploaded file.

The official dubbing quickstart is available in English, Japanese, Korean, Portuguese, and Simplified Chinese, with consistent REST API examples across all five locales.

Verify on official site

Continue exploring

Different paths for a similar job

These tools were linked as editorial alternatives with a documented reason for the relationship.

01Whisper AI

Whisper AI

OpenAI Whisper provides speech-to-text transcription, while Pinch focuses on end-to-end language dubbing as a managed API. Use Whisper if you need transcription only; use Pinch for full audio/video dubbing into another language.

View record
02Free MP3 to Text Converter

Free MP3 to Text Converter

For transcription-only workflows where full language dubbing is unnecessary, a free MP3-to-text converter may be a simpler and more cost-effective alternative to Pinch's complete dubbing pipeline.

View record
View all Pinch alternatives

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