Audio-first validation
An audio-to-text model can require one or more audio inputs and define accepted formats, maximum file size, maximum duration, and file count.
Create AI video drafts directly in Img2Vid. Choose a compatible model, review price and plan eligibility, then generate in the same workspace.
Speech to Text for Fast, Private Transcription
Upload spoken audio, choose an available transcription model, and turn the recording into a copyable, downloadable transcript. Img2Vid keeps text output private and renders each model's real input and language controls.
Audio UploadPrivate TranscriptCopy or DownloadConfigurable Models
AI Transcription
Turn recorded speech into usable text
Speech to text converts the spoken content of an audio file into written language. A useful transcript is more than raw output: it should preserve the meaning of the recording, remain easy to review, and be handled according to the sensitivity of the source. Img2Vid provides a configuration-driven transcription surface with audio upload, model-specific controls, private task history, copy, and text download.
Upload the source audio
Use a supported recording format and stay within the size, duration, and file-count limits declared by the selected transcription model.
Choose the right model
Select an active audio-to-text model and use its configured language, diarization, timestamp, or formatting options when available.
Review the transcript
Compare the text with the recording, especially around names, numbers, accented speech, technical terms, overlapping speakers, and noisy passages.
Copy or download
Copy the transcript into another workflow or download a UTF-8 text file while retaining the original task context in private history.
Capabilities
A transcription surface that follows the selected model
Speech recognition providers expose different input limits and output features. Img2Vid reads those differences from model configuration instead of hard-coding one provider's assumptions into every transcription page.
Language controls
When supported, an explicit language or locale can improve accuracy. Other models may detect the language automatically and expose no manual selector.
Model-specific options
Diarization, timestamps, punctuation, translation, vocabulary hints, or output formatting appear only when the active model declares them.
Canonical text results
Provider responses are normalized into text artifacts and a stable transcript result, while raw provider data remains available to server-side task processing.
Workflow-ready output
Text artifacts can pass through workflow output ports without being misclassified as images, allowing later summarization or analysis nodes to consume the transcript.
API-compatible result
The public generation result contract includes text artifacts and a texts array, so API clients can consume transcripts without scraping presentation markup.
Workflow
From source recording to reviewed transcript
A reliable speech to text process starts with usable audio and ends with human review. Model output should be treated as a strong draft, not an unquestionable record.
- Step 01
Prepare the recording
Prefer clear speech, consistent volume, limited background noise, and a complete file. Confirm that you have permission to process the recording.
- Step 02
Upload and configure
Choose the transcription model, attach the audio, and set only the supported options such as language, speaker handling, or timestamp detail.
- Step 03
Generate the transcript
Submit the task and let Img2Vid normalize the provider response into a text artifact that can be displayed, copied, downloaded, and used by workflows.
- Step 04
Review against the audio
Correct names, numbers, domain vocabulary, speaker attribution, and uncertain sections before treating the transcript as a source of truth.
Use Cases
Where speech to text saves useful time
Transcription is valuable wherever spoken information needs to become searchable, editable, reviewable, or available to another system. The appropriate model and review depth depend on the consequences of an error.
Meetings and interviews
Create a reviewable record from discussions, research interviews, customer calls, and internal briefings before extracting decisions or themes.
Podcasts and video
Turn recorded episodes and spoken video into source text for editing notes, summaries, captions, descriptions, and content repurposing.
Research and field notes
Convert dictated observations and recorded sessions into text that can be tagged, searched, compared, and incorporated into a research archive.
Customer support review
Produce transcripts for quality review, issue classification, and training while respecting consent, retention, and access-control requirements.
Lecture and training notes
Create draft notes from educational recordings, then verify terminology and structure before sharing them with learners.
Accessible content workflows
Use reviewed transcripts as a starting point for captions, searchable alternatives, and written versions of spoken material.
Privacy and Accuracy
Treat recordings and transcripts as sensitive data
Speech can contain personal, confidential, regulated, or commercially sensitive information. Img2Vid forces text-output generation tasks to remain private, but teams must still choose appropriate source material, providers, retention rules, and access controls.
Private by design
Speech-to-text results cannot be made public through the generator or task visibility endpoint, preventing transcripts from entering the public Explore gallery.
Use permitted recordings
Confirm consent and legal authority before uploading a meeting, call, interview, classroom recording, or any audio containing another person's voice.
Verify consequential details
Never rely on automatic transcription alone for legal, medical, financial, safety, or compliance decisions. Compare critical passages with the recording.
Minimize unnecessary data
Upload only the portion needed for the task, avoid unrelated sensitive material, and follow the provider and your organization's retention requirements.
FAQ
Speech to text FAQ
Answers about audio formats, accuracy, privacy, model configuration, transcript output, and API use.
Transcribe Audio
Turn a recording into a reviewable transcript
Choose an available speech to text model, upload supported audio, generate a private transcript, and copy or download the result.