# Start Transcription Jobs for S3 Objects Source: https://openflow.run/zh-tw/templates/start-transcription-jobs-for-s3-objects/ Content language: en Template revision: 9018120e802d4de0a097610157c565df858c0871 效率 Start an automatic-language Amazon Transcribe job for each nonempty object in an S3 bucket. [在 Open Flow 中使用](https://console.openflow.run/flows?importUrl=https%3A%2F%2Fraw.githubusercontent.com%2Foomol-lab%2Fawesome-workflow-templates%2F9018120e802d4de0a097610157c565df858c0871%2Fworkflows%2Fstart-transcription-jobs-for-s3-objects%2Ftemplates%2Fstart-transcription-jobs-for-s3-objects.openflow.json) * [Open Flow JSON](https://raw.githubusercontent.com/oomol-lab/awesome-workflow-templates/9018120e802d4de0a097610157c565df858c0871/workflows/start-transcription-jobs-for-s3-objects/templates/start-transcription-jobs-for-s3-objects.openflow.json) * [n8n JSON](https://raw.githubusercontent.com/oomol-lab/awesome-workflow-templates/9018120e802d4de0a097610157c565df858c0871/workflows/start-transcription-jobs-for-s3-objects/templates/start-transcription-jobs-for-s3-objects.n8n.json) ![Start Transcription Jobs for S3 Objects 在 Open Flow 中的工作流程截圖](https://openflow.run/_astro/preview-light.DDSpoWCJ_Z2cCez5.webp) Start an automatic-language Amazon Transcribe job for each nonempty object in an S3 bucket. ## Setup Connect AWS S3 and configure the bucket and AWS region in **Read the next S3 object**. Bind secret Variables for AWS access key ID and secret access key in **Start the Transcribe job**; bind a session token too when using temporary credentials. The credentials need s3:ListBucket, s3:GetObject and transcribe:StartTranscriptionJob permissions; the bucket must be in the Transcribe region. For another region, change the allowed HTTP host to that region’s Transcribe endpoint. In n8n configure the same bucket in **AWS S3** and AWS credentials on both AWS nodes. Enable one format. ## Behavior A manual run lists the whole bucket, including nested prefixes, and submits one Transcribe job per nonempty object, with automatic language identification. The bucket should contain supported audio or video media; objects are not filtered by extension; zero-byte objects and folder markers are skipped as in the source. Submission only starts jobs; it does not wait for or download completed transcripts. When no output bucket is specified, Amazon Transcribe supplies a service-managed transcript location. Each job name is a deterministic hash of the bucket and object key. Re-running for the same object can conflict with an existing job; inspect AWS before retrying or delete/rename the earlier job if appropriate. A failed or uncertain submission may already have succeeded, and earlier jobs remain if a later object fails. No automatic submission retry is added. Large buckets are handled page by page within platform execution limits. Inspiration & credits ## Changes to the source * Replace the private bucket and credentials with configuration. Open Flow uses the formal S3 Action and signs the Transcribe API request with AWS secret Variables; n8n retains its native AWS nodes. * List nested objects that the original S3 node’s root-only delimiter omitted. Use a stable hash of bucket and key for job names; the source’s whitespace-only replacement fails for keys containing characters AWS does not allow in job names. Adapted from [Create transcription jobs using AWS Transcribe](https://github.com/Zie619/n8n-workflows/blob/ae8cf6dc5b873cbb4f74587aa9180ed3a9f70682/workflows/Manual/0049_Manual_Awss3_Automate_Triggered.json) in [Zie619/n8n-workflows](https://github.com/Zie619/n8n-workflows). The matching [n8n listing](https://n8n.io/workflows/1111-create-transcription-jobs-using-aws-transcribe/) credits Harshil Agrawal. The original template does not state a separate license. The collection’s [MIT notice](https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/LICENSE) is pinned at a later revision. This is the collection notice at that revision; it does not establish a separate original template author’s license. Our changes are listed above; see [repository licensing](https://github.com/oomol-lab/awesome-workflow-templates/blob/9018120e802d4de0a097610157c565df858c0871/README.md#licensing). > MIT License > > Copyright (c) 2025 Zie619 > > Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: > > The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. > > THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ## 使用的應用 * [**AWS S3**`aws_s3`](https://console.openflow.run/connections/aws_s3) ## 設定需求 * S3 connection with permission to list the bucket * AWS IAM credentials for Amazon Transcribe and permission to read the S3 media * Bucket and Transcribe in the same AWS region * aws * s3 * transcription * audio [在 GitHub 查看](https://github.com/oomol-lab/awesome-workflow-templates/blob/9018120e802d4de0a097610157c565df858c0871/workflows/start-transcription-jobs-for-s3-objects/README.md)