Free Jira ticket generator
Paste your notes. Get Jira ticket drafts.
Drop in stand-up notes, a planning transcript or a messy Slack thread. The extraction engine reads it the way a good delivery lead would and hands back Jira-shaped drafts: summary, description, issue type, priority and labels. No account, nothing stored, five runs a day.
0 / 12,000 characters
5 free runs per day. Nothing you paste is stored. The free tool returns titles, descriptions, priorities and labels; the deep fields belong to account holders.
What comes back
Five fields, each earning its place in a Jira issue
A draft is not a summary. Each one is a single piece of work, separated out from the conversation and written so it survives contact with a Jira board. Try the sample transcript above: one stand-up produces a bug, a couple of stories and a task, each with its own priority.
| Draft field | What you get |
|---|---|
| Summary | An imperative title an engineer can act on, not a topic heading. |
| Description | The problem or request in plain language, written from what was actually said. |
| Issue type | Story, Bug or Task. A broken pipeline and a template gap are not the same work. |
| Priority | Critical to Low, judged from the language and stakes in the conversation. |
| Labels | Lowercase, hyphenated domain tags ready for Jira board filters. |
The locked rows under each draft are not decoration. Acceptance criteria, edge cases, dependencies and business value exist in the product output, they are simply not available on the anonymous endpoint. That boundary is deliberate.
Drafts vs the real thing
What the account version adds, specifically for Jira
The gap between a draft and a ticket your team will actually pick up is Jira-specific plumbing. Most of it is invisible until you hit it.
Descriptions in ADF, not Markdown
Jira Cloud descriptions use Atlassian Document Format. Paste Markdown into the API and you get mangled tickets. The account version writes ADF natively, so descriptions land formatted, with the source quote intact.
Acceptance criteria on every story
Numbered Gherkin scenarios, Given/When/Then, derived from what the team agreed rather than invented to fill space. The free tool locks this field. Accounts get it on every generation.
Direct push with field mapping
Connect Jira over OAuth and approved items push straight in: summary, ADF description, issue type, priority and labels mapped to your project scheme. Batched with backoff, so a big session lands completely instead of tripping the rate limit halfway.
Review before anything reaches Jira
Generated items wait in a review queue with their verbatim source quotes. You edit, discard or approve. Nothing appears in your backlog that a human did not look at first.
The full field mapping, OAuth scopes and rate-limit handling are documented on the Jira integration page. For the whole workflow from a live call to issues in your project, see meeting notes to Jira.
Why this beats prompting
The ticket was already written. Someone said it out loud.
You can ask a chat window to "write a Jira ticket for a Terraform state lock issue" and it will produce something plausible and generic. Plausible and generic is exactly what a backlog does not need. The engineer who picks it up still has to find the person who raised it and ask what actually happened.
This tool works the other way round. It starts from the conversation, where the symptoms, the stakes and the owner were all stated, and separates that into discrete pieces of work. In the sample transcript above, "people keep paging on ghosts" is a bug with a known cause. "The template needs the probe baked in" is a story with its defaults half-specified already. The tool's job is not to invent, it is to not lose any of it.
Inside the product the same principle goes further: every generated item carries the verbatim quote it came from, so a reviewer can check the source in seconds before anything is pushed. Ten drafts you can verify beat one summary you have to trust.
FAQ
Jira ticket generator, answered
- Is this Jira ticket generator actually free?
- Yes. Five runs per IP address per day, no account, no card, and nothing you paste is stored. It returns ticket drafts with summary, description, issue type, priority and labels. The deeper fields, acceptance criteria among them, belong to account holders.
- What should I paste in?
- Anything conversational: stand-up notes, a planning transcript, a Slack thread about an incident, rough minutes. Raw and messy works better than a polished summary, because the tool anchors drafts to specific statements. Up to 12,000 characters per run.
- Does it push tickets into Jira directly?
- The free browser tool does not, it produces drafts you can copy. The account version connects to Jira over OAuth and pushes approved items with proper field mapping: ADF descriptions, issue type, priority and labels matched to your project. The full mapping is on the Jira integration page.
- How does it decide whether something is a story, bug or task?
- From the shape of what was said. A broken pipeline described with symptoms becomes a bug. A request for new behaviour with a user on the other end becomes a story. A bounded piece of work with an owner becomes a task. That triage is most of the value, because mislabelled work gets planned wrongly.
- Why are acceptance criteria locked in the free tool?
- The free endpoint is restricted to a truncated output on purpose. Acceptance criteria, edge cases, dependencies and business value are generated only inside the product, where the model works from the full conversation rather than a pasted fragment. A free account includes 3 full generations, no card needed.
- Can it handle a whole meeting instead of pasted notes?
- That is the actual product. The meeting bot joins Zoom, Microsoft Teams or Google Meet from a pasted link and transcribes the call, or you upload a recording, or paste the transcript afterwards. Artefacts are generated from the whole conversation and pushed to Jira after review. The meeting to Jira page walks through it end to end.
- Is my pasted text used to train anything?
- No. Free tool input is processed for the extraction and discarded. It is not stored and not used for training.
Keep going
Related workflows and resources
Meeting notes to Jira
The full workflow: live call to reviewed issues in your Jira project.
Jira integration
ADF descriptions, field mapping, OAuth scopes and rate-limit handling.
AI user story generator
The same free tool, tuned for user stories specifically.
AI backlog generator
Turn one conversation into a structured, prioritised backlog.
Bug artefacts
How generated bugs are structured, from symptoms to severity.
Acceptance criteria generator
How Gherkin criteria are derived from what was actually agreed.
Stop transcribing meetings into Jira by hand
Create a free account and turn your next planning call into reviewed, Jira-ready work with acceptance criteria and a direct push. 3 free generations, no card.